Author: Clearon AI

  • Courts and AI

    Courts and AI

    Courts and AI

    Courts and AI

    Court rules, standing orders, sanctions rulings, privilege and work-product decisions, protective-order restrictions, and tribunal guidance on AI use.

    This page tracks what courts and tribunals are requiring, permitting, warning about, and sanctioning. It is about rules and rulings, not the broader universe of AI-related lawsuits.

    44tracked court-rule and ruling developments
    13jurisdictions and tribunal categories
    5views for rules, rulings, tribunals, and bar guidance
    242026-dated tracker updates

    Featured alert: AI court rules and rulings

    Courts are moving from general warnings about artificial intelligence to concrete filing certifications, protective-order restrictions, privilege rulings, and sanctions frameworks. There is still no single national rule, but there is now a growing body of court-specific requirements and decisions.

    Bottom line: This page is a court-rules-and-rulings tracker. It focuses on what judges, courts, and tribunals are saying and doing, not on the full field of AI-related lawsuits.

    What this page covers

    Court rules and standing orders

    Forum-specific filing certifications, AI disclosure rules, sanctions warnings, and state court policies.

    Privilege, work product, and protective orders

    Early decisions on AI-assisted filings and advocacy preparation, tool identity, discovery confidentiality, and open AI restrictions.

    Patent practice moved

    Patent-office guidance and AI inventorship now live on a separate Patent Practice page, not in this court-rules-and-rulings tracker.

    State court and bar guidance

    State court policies, local administrative orders, and state or local bar guidance verified against primary sources.

    Featured developments

    Category Development Practice point
    Privilege / work product United States v. Heppner and Warner v. Gilbarco reached different results on AI-related work product. AI use does not create one uniform privilege rule; counsel direction, platform type, confidentiality, and procedural posture matter.
    Protective orders Morgan v. V2X and Jeffries v. Harcros Chemicals restricted AI use with confidential or discovery material. Protective orders should address open vs. closed AI tools, training, retention, deletion, and disclosure.
    Filing rules Florida and New York now show two statewide approaches: Florida requires signer certification that cited authorities exist and are accurately cited; New York permits AI-assisted submissions without systemwide disclosure but requires independent verification. Lawyers should treat verification as the baseline obligation even when disclosure is not required.
    Sanctions / local counsel The Ninth Circuit’s Lnu v. Blanche order and the Northern District of Mississippi’s Withers v. City of Aberdeen sanctions order show courts escalating remedies for AI-fabricated authorities. Candor, signer review, local-counsel supervision, and prompt correction can matter as much as the original AI use.
    Patent practice moved Patent-office guidance and AI inventorship have been moved off this page and are tracked separately on the Patent Practice page. Use this page for court rules, rulings, sanctions, privilege, and protective-order developments rather than USPTO, PTAB, or TTAB practice.
    Evidence Proposed Federal Rule of Evidence 707 would address machine-generated evidence. AI evidence issues may move from filing guidance into admissibility doctrine.

    AI court rules and rulings tracker

    Search court rules, standing orders, sanctions decisions, protective-order rulings, administrative tribunal guidance, and bar guidance that shape how lawyers can use AI before courts and tribunals.

    Last updated 2026-08-12
    44published tracker rows
    13jurisdictions and tribunal categories
    21court-rule and standing-order items
    15rulings and sanctions items
    Date / Type Jurisdiction / Authority Development Requirement or Outcome Practice Takeaway Source Status
    2026-02-17Cases Federal
    S.D.N.Y.
    United States v. Heppner
    Privilege; work product
    Attorney-client privilege and work-product protection denied Consumer AI use outside counsel direction is high risk for privilege and work-product claims primary order
    2026-02-10Cases Federal
    E.D. Mich.
    Warner v. Gilbarco Inc.
    Work product
    AI-related litigation materials protected as work product; defendants’ motion to compel denied in relevant part AI use does not automatically waive work product in civil litigation when disclosure is not likely to reach an adversary primary order
    2026-03-30Cases Federal
    D. Colo.
    Morgan v. V2X Inc.
    Work product; tool identity; protective order
    Work product reportedly protected but AI tool identity had to be disclosed; protective order amended Tool identity may be discoverable even when AI-assisted mental impressions remain protected primary order
    2025-10-30Cases Federal
    E.D. Mich.
    Warner v. Gilbarco Inc. protective-order amendment
    Protective order
    Court modified Rule 26(c) protective order so documents marked confidential shall not be uploaded onto any AI platform Protective orders can impose broad AI-upload bans for confidential discovery primary order
    2026-03-25Cases Federal
    D. Kan.
    Jeffries v. Harcros Chemicals Inc.
    Protective order
    Court granted motion to amend protective order and entered defendants’ proposed language restricting open AI tools for discovery materials Discovery orders may restrict public AI based on retention training deletion clawback privacy and security risks primary order
    2026-06-15Court Rules Florida
    Supreme Court of Florida
    In re Amendments to Florida Rule of General Practice and Judicial Administration 2.515
    Court filing certification; sanctions
    Signer represents cited legal authorities exist and are accurately cited; sanctions expressly authorized after notice and opportunity to be heard Statewide uniform rule replaces varied circuit AI disclosure and certification requirements; comments due 2026-08-11 primary administrative order
    2026-01-01Court Rules Federal
    U.S. Bankruptcy Court S.D. Cal.
    General Order 210 and CSD 5013
    Court filing disclosure and certification
    Disclosure and certification required through local form CSD 5013; filer identifies AI program and certifies factual/legal accuracy check outside AI Useful model for courtwide filing-attestation process primary order
    2026-01-28Court Rules Federal
    D. Kan.
    Standing Order 26-01 Use of Artificial Intelligence in Preparing Court Filings
    Court filing verification; sanctions
    Litigants remain responsible for verifying AI-assisted content; court may strike filings impose sanctions or require sworn AI-use statements Good example of districtwide caution plus discretionary case-specific disclosure primary order
    2025-12-01Court Rules Federal
    D. Colo. Judge Nina Y. Wang
    Standing Order Regarding Use of Generative AI in Court Filings
    Court filing certification; client consent
    Every filing must include AI certification; if AI used counsel must certify human review and client consent Judge-specific orders may go beyond Rule 11 by requiring AI-use certifications in every filing primary order
    2024-10-21Court Rules Federal
    D. Colo. Magistrate Judge Susan Prose
    Standing Order Requiring Certification Re Use of AI in Filings
    Court filing certification
    Specified motions must certify AI use or non-use; noncompliant filings may be stricken Certification requirements may be limited by motion type and referral posture primary order
    2023-06-06Court Rules Federal
    E.D. Pa. Judge Michael M. Baylson
    Standing Order Re Artificial Intelligence in Cases Assigned to Judge Baylson
    Court filing disclosure and certification
    AI use must be disclosed in a plain factual statement and citations must be certified as verified Early judge-specific model for AI disclosure and citation verification primary order
    2023-06-08Court Rules Federal
    U.S. Court of International Trade Judge Stephen Vaden
    Order on Artificial Intelligence
    Confidentiality; court filing disclosure
    Parties using generative AI must disclose program and AI-drafted text and certify no unauthorized disclosure of confidential or business proprietary information Important confidentiality-focused court order for AI use in litigation filings primary order
    2025-06-10Proposed Rules Federal
    Judicial Conference Advisory Committee on Evidence Rules
    Proposed Federal Rule of Evidence 707
    Machine-generated evidence; admissibility
    Would require Rule 702-style reliability showing when machine-generated evidence would be subject to Rule 702 if testified to by a witness Track as systemic evidence-rule development separate from filing-certification standing orders primary committee report
    2024-06-10Court Rules Federal
    U.S. Court of Appeals for the Fifth Circuit
    Decision not to adopt proposed AI briefing rule
    Appellate filing certification
    Court declined to adopt a special AI rule at that time Important negative datapoint: existing certification and accuracy duties may be viewed as sufficient at appellate level primary court rule-change page
    2023-11-13Court Rules Federal
    D. Haw.
    General Order 23-1 re In re Use of Unverified Sources
    Court filing disclosure; unverified sources
    Requires a Reliance on Unverified Source declaration when counsel or a pro se party submits filing material generated by an unverified source; excludes basic research tools such as Westlaw Lexis Fastcase Bloomberg Law Westlaw Edge Lexis+ or similar reliable legal sources Useful district-wide model treating generative AI output as an unverified source primary order
    2024-12-01Court Rules Federal
    D. Neb.
    Nebraska Civil Rule 7.1(d) Generative AI and Certificate of Compliance
    Court filing certification; Rule 11
    Requires certificate stating no generative AI was used or that a human verified all generated text citations and legal authority Notable district-wide local rule rather than individual standing order primary local rules
    2025-09-02Court Rules Federal
    N.D. Tex.
    Local Civil Rule 7.2(f) and Local Criminal Rule 47.2(e) AI disclosure
    Court filing disclosure
    A brief prepared using generative AI must disclose this fact on the first page under the heading Use of Generative Artificial Intelligence; no disclosure certifies no generative AI was used Track as district-wide local-rule approach primary court rule page
    2025-09-01Court Rules California
    Judicial Council of California
    California Rule of Court 10.430 and Standard of Judicial Administration 10.80
    Judicial-branch generative AI policy
    Courts that allow generative AI must adopt a use policy or prohibit use; Standard 10.80 provides guidance for judicial officers acting in an adjudicative role Statewide court-system governance model rather than attorney filing-disclosure rule primary rule
    2025-01-01Court Rules Illinois
    Supreme Court of Illinois
    Illinois Supreme Court Policy on Artificial Intelligence
    Court and litigation AI use; existing-rule sufficiency
    Policy permits AI use subject to existing legal ethical and court rules and says existing rules are sufficient Important contrast to jurisdictions adopting new disclosure mandates primary court announcement
    2025-08-01Court Rules Louisiana
    Louisiana Legislature
    Louisiana Code of Civil Procedure article 371(C)
    Evidence authenticity; AI evidence
    Requires reasonable diligence regarding authenticity of evidence before offering it to the court Track as evidence/authenticity rule rather than filing-certification rule primary act text
    2024-03-05Other New Mexico
    New Mexico Legislature
    HB 182 amendments to the Campaign Reporting Act
    1-19-26.8
    State law regulates AI-generated election-related ads and separately prohibits certain knowingly deceptive AI media distributed within ninety days of an election unless statutory disclaimer conditions are met Enacted law requires disclaimers for covered AI-generated political advertisements and creates civil/criminal enforcement around materially deceptive media; The Babylon Bee sued on 2026-08-11 arguing the disclaimer regime is unconstitutional as applied to satire and parody https://www.nmlegis.gov/sessions/24%20Regular/final/HB0182.PDF
    2025-08-08Tribunals Federal administrative
    Executive Office for Immigration Review
    Policy Memorandum 25-40 guidance on generative AI in immigration proceedings
    Administrative tribunal filings; hallucinated citations
    No blanket ban or mandatory disclosure; adjudicators may address inaccurate AI-assisted filings through existing authorities Useful admin-tribunal example focused on verification and discipline rather than blanket prohibition primary policy memo
    2025-06-05Court Rules Arkansas
    Supreme Court of Arkansas
    Proposed Arkansas Supreme Court Administrative Order No. 25 Artificial Intelligence
    Court-system AI policy; confidential court data
    Proposed administrative order published for comment addressing generative AI use with confidential court data State supreme court-level AI governance proposal focused on confidentiality and court data primary court proposal
    2026-05-20Court Rules Florida
    Eleventh Judicial Circuit of Florida Miami-Dade County
    Administrative Order 26-15 re use of AI in court filings by attorneys and self-represented litigants
    Court filing disclosure and verification
    Requires disclosure of generative AI use and verification that the filing was independently checked Local Florida circuit order aligned with Broward and later superseding earlier Miami-Dade AO 26-04 primary court announcement
    2026-01-26Court Rules Florida
    Seventeenth Judicial Circuit of Florida Broward County
    Administrative Order 2026-03-Gen use of AI in court filings
    Court filing disclosure and certification
    Requires disclosure/certification when generative AI is used in court filings and emphasizes accuracy confidentiality candor diligence and procedural-rule compliance Local Florida circuit order requiring AI-use certification in filings primary order
    2025-12-08Court Rules North Carolina
    Superior Court of Cabarrus County
    Revised Administrative Order re Artificial Intelligence in Superior Court Proceedings
    Court filing disclosure; AI-generated content; pro se and attorney filings
    Revised local administrative order governs AI use in superior court proceedings and supersedes prior Cabarrus order County-level state court AI order; useful as an early state trial-court model primary order
    2024-01-19Bar Guidance Florida
    The Florida Bar
    Florida Bar Ethics Opinion 24-1 Lawyers’ Use of Generative Artificial Intelligence
    Lawyer ethics; competence; confidentiality; supervision; fees; advertising
    Lawyers may use generative AI if they comply with existing ethics obligations including confidentiality competence supervision candor fees and advertising duties State bar ethics guidance should be tracked separately from court filing orders primary bar ethics opinion
    2023-11-16Bar Guidance California
    State Bar of California
    Practical Guidance for the Use of Generative Artificial Intelligence in the Practice of Law
    Lawyer ethics; competence; confidentiality; supervision; billing; candor
    Applies existing California professional duties to generative AI use and flags confidentiality competence supervision candor and billing risks State bar practical guidance complements California court-system Rule 10.430 but serves a different audience primary bar guidance
    2024-03-28Bar Guidance Michigan
    State Bar of Michigan
    Transforming the Legal Profession in the Age of AI report and resources
    Lawyer ethics; competence; confidentiality; unauthorized practice; access to justice
    State Bar of Michigan identifies ethical considerations and lawyer obligations to understand AI’s benefits and risks Useful Michigan-specific bar source for ethics and practice training rather than a binding court order primary bar resource
    2024-08-07Bar Guidance New York
    New York City Bar Association
    Formal Opinion 2024-5 Generative AI in the Practice of Law
    Lawyer ethics; confidentiality; competence; candor; supervision; fees
    Opinion identifies existing professional duties implicated by generative AI use including confidentiality competence diligence candor supervision and client communication Use as New York ethics guidance; do not label as statewide court rule primary bar ethics opinion
    2026-06-04Cases Oregon
    Oregon Supreme Court
    Aldridge v. Tussing
    Fabricated authorities; sanctions; pro se filings
    Court struck petition and show-cause response and dismissed proceeding Repeating fabricated-authority misconduct after a direct warning can convert a filing error into case-ending sanctions primary order
    2026-06-04Cases Oregon
    Oregon Supreme Court
    Witkin v. McGreevy
    Fabricated authorities; sanctions; certification; pro se filings
    Court struck response imposed $500 sanction and allowed corrected filing with source-existence certification Prompt compliance and acceptance of responsibility may mitigate sanctions but do not excuse an unverified filing primary order
    2026-03-23Cases Federal
    District of Oregon
    Couvrette v. Wisnovsky
    Fabricated authorities; Rule 11; local counsel; fee shifting
    Court finalized $94,704.38 fee-and-cost award allocated 85% to lead counsel and 15% to local counsel after earlier sanctions and dismissal with prejudice Local counsel and supervising lawyers cannot treat filing and pro hac vice responsibilities as merely administrative primary order
    2026-06-03Cases Federal
    Ninth Circuit
    Lnu v. Blanche
    Fabricated authorities; inaccurate authorities; candor; appellate discipline
    Court imposed $2500 on each lawyer six-month suspensions broad notice duties two-year AI disclosure and verification requirements and licensing-authority referrals Candor after discovery of an AI-assisted error can materially affect discipline and firm policies do not replace personal verification primary published order
    2026-06-01Court Rules New York
    New York State Unified Court System
    Part 161 Use of Artificial Intelligence Technology
    Court filing verification; AI use; sanctions
    AI use is permitted without systemwide mandatory disclosure but users must understand tool limits and independently verify papers contain no fabricated or fictitious cases statutes or other material New York chose a verification-first statewide rule while allowing individual judges to adopt additional part rules primary rule
    2026-06-08Cases Federal
    N.D. Miss.
    Withers v. City of Aberdeen
    Fabricated authorities; Rule 11; local counsel; pro hac vice; disqualification
    Court disqualified all four lawyers from the case revoked two pro hac vice admissions barred those lawyers from appearing in the district for two years imposed fines and referred the order to disciplinary authorities Local counsel and sponsoring counsel face personal risk when they act as a rubber stamp for AI-assisted filings prepared by others primary docket; secondary order copy
    2026-06-16Bar Guidance California
    State Bar of California
    Proposed Amendments to the Rules of Professional Conduct Related to Artificial Intelligence
    Lawyer ethics; competence; confidentiality; supervision; agentic AI
    State Bar seeks public comment on proposed amendments addressing AI use in legal practice California may move from practical AI guidance toward binding professional-conduct language including agentic-AI issues primary bar proposal
    2026-06-11Cases Federal
    E.D. Tex.
    McCormick v. Texakoma Financial Inc.
    Fabricated authorities; Rule 11; attorney supervision; verification certification
    Court sanctioned attorney Amy L.B. Ginsburg publicly reprimanded her required CLE required review of 2026 filings for authority accuracy and imposed a certification-of-verification requirement for future filings Wrong-draft and staff-blame explanations are unlikely to mitigate if counsel cannot show personal verification of authorities quotes and the filed version primary docket; secondary summary
    2026-03-20Cases Ohio
    Ohio Court of Appeals Eleventh Appellate District
    State v. Coleman
    Fabricated record quotations; sanctions; nonlawyer supervision; duty to correct
    Court imposed a $2000 sanction credited against settlement payment referred counsel to disciplinary authorities struck the application removed counsel required CLE required apologies and imposed two-year court-notice and filing-certification obligations AI supervision failures are not limited to fake case citations; fabricated record quotations and failure to correct after notice can trigger broad protective sanctions primary opinion
    2026-04-01Bar Guidance Ohio
    Ohio Board of Professional Conduct
    Ohio Ethics Guide Artificial Intelligence for Lawyers and Judicial Officers
    Lawyer and judicial ethics; competence; confidentiality; supervision; candor; judicial decision-making
    Nonbinding Board staff guide applies existing Ohio professional-conduct and judicial-conduct duties to AI use including independent verification confidentiality safeguards supervision fee reasonableness candor and judicial nondelegation Track separately from court filing rules because it is nonbinding ethics guidance but it is a useful Ohio-specific synthesis for lawyers and judges primary ethics guide
    2026-04-03Cases Federal
    Sixth Circuit
    United States v. Farris
    Fabricated quotations; inaccurate authorities; CJA counsel; legal AI product
    Court denied CJA compensation forwarded opinion for disciplinary review served district court and bar authorities and separately removed counsel and ordered new briefing Legal AI tools from established providers can still produce false quotations or misleading case descriptions; attorney verification remains nondelegable primary published opinion
    2026-03-30Cases Federal
    Seventh Circuit
    Dec v. Mullin
    Fabricated authorities; inaccurate quotations; appellate briefing; opposing counsel vigilance
    Court admonished counsel but declined further sanctions because the errors were unintentional and counsel was contrite while also criticizing opposing counsel for failing to catch the errors The verification burden remains on the filer but courts may expect opposing counsel to raise obvious fabricated-authority problems once they are noticed primary opinion mirror
    2026-06-17Cases Michigan
    Michigan Court of Appeals
    Barber v. Morawa
    Fabricated authorities; unsupported citations; sanctions; grievance referral
    Court affirmed denial of new trial but held counsel violated MCR 7.216(C)(1) and MCR 1.109(E)(5) remanded for actual damages and reasonable fees payable personally by counsel and forwarded opinion to the Attorney Grievance Commission Published Michigan appellate authority confirms AI-related citation failures can trigger personal fee exposure and disciplinary referral primary published opinion
    2026-04-28Court Rules Oregon
    Oregon Court of Appeals
    Notice Regarding Court Imposition of Sanctions for Submission of Fabricated Authority Produced by AI
    Fabricated authorities; court notice; sanctions warning
    Fabricated authority can support striking a filing monetary sanctions payable to the court attorney-fee awards to opposing parties and dismissal of the appeal Oregon appellate courts are moving from case-by-case sanctions to broader public notice of verification obligations primary court notice

    No tracker rows match the current filters.

    Publication policy: rows are sourced to primary court, agency, legislature, or bar materials where available. Secondary trackers are used for lead generation and are not treated as final authority.

    What lawyers and court-facing teams should do now

    • Review judge-specific standing orders, local rules, state court policies, and tribunal guidance before major filings.
    • Verify every citation, quotation, record reference, legal proposition, and factual assertion in AI-assisted work.
    • Do not treat a no-disclosure rule as a no-review rule; court rules increasingly focus on whether the filing was independently verified.
    • Do not upload confidential discovery, privileged material, trade secrets, protected health information, export-controlled information, or business proprietary information into public AI tools.
    • Confirm whether any protective order permits closed enterprise AI tools and whether the tool contract addresses training, retention, disclosure, and deletion.
    • Treat AI-generated evidence differently from AI-assisted drafting. Evidence still must be authentic, admissible, and tied to real-world facts.

    Source note: Clearon gives preference to primary court, agency, legislature, and bar sources. Secondary trackers are used as leads, not as final authority.

  • Satire and Parody Are One of the Clearest Fault Lines in State AI Election Laws

    Satire and Parody Are One of the Clearest Fault Lines in State AI Election Laws

    The easiest way to summarize state election-AI laws is to sort them into disclosure laws and prohibition laws.

    That summary helps, but only up to a point.

    One of the sharper fault lines in the selected state cluster is satire and parody.

    Once a statute reaches political memes, ridicule, caricature, parody videos, or other obviously expressive content, the legal problem changes. The fight stops being only about synthetic deception and starts becoming a First Amendment fight over how a state treats speech that is false in a literal sense but often protected in context.

    That is why satire and parody are a central comparison point in this selected-state field.

    Disclosure Versus Prohibition Is Not The Whole Story

    Many state election-AI laws already mix techniques.

    Some use disclosure language. Some use prohibition language with safe harbors. Some pair a liability rule with an exception, exclusion, or prescribed warning. The same statute can look like a disclosure law from one angle and a prohibition law from another.

    That is why the older binary starts to break down.

    A better question is simpler: when satire or parody is involved, what does the statute actually do?

    Three Practical Buckets

    For a selected-state comparison, the working split that makes the most sense right now has three buckets:

    1. Express carveout
    2. Conditional carveout
    3. No clear carveout

    An express carveout means the statute excludes satire or parody from the operative restriction.

    A conditional carveout means the statute mentions satire or parody but still ties lawful use to a disclaimer, label, or other required treatment.

    A no-clear-carveout statute is one where satire or parody is not clearly spared, or where the text is too thin or too muddled to summarize confidently as a real exemption.

    This framework is not elegant. It is useful.

    Arizona Shows The Cleanest Express Carveout

    Arizona is the easiest place to start.

    Its enacted Chapter 199 is one of the clearer examples of an express satire/parody exclusion in this area. That matters because Arizona gives courts and drafters a model for what it looks like when a legislature actually decides to keep parody outside the statute's operative reach.

    That does not end every constitutional question. It does show that a state can draft more precisely than many of its peers.

    Colorado, New York, and Oregon also fit more comfortably in the express-carveout conversation based on the enacted measures cited in Clearon's selected-state comparison.

    California Is The Best Example Of Why One State May Need Two Labels

    California is where shorthand causes trouble.

    If you say California has a satire/parody carveout, that is partly true and partly too broad. If you say California only uses a disclosure-conditioned model, that is also incomplete.

    The cleaner explanation is that California's two enacted 2024 laws need to be split, and that their current litigation posture should be kept in view.

    AB 2655 contains an express satire/parody exemption inside a broader platform-duty regime, while AB 2839 is the more disclosure-conditioned and speaker-facing statute. Both laws drew district-court relief in 2025, and the cited March 2026 appellate filings are tied to the AB 2655 side of the case rather than a single unified merits ruling across both statutes. That split is one reason California has become such an important litigation state. The constitutional arguments do not attach to one perfectly unified statutory model.

    So California is not just a comparison state. It is a warning about over-compression.

    New Mexico Shows Why A Conditional Carveout Still Draws Fire

    New Mexico is useful because it tests a purported middle category.

    The Bee's complaint there argues that the challenged year-round advertisement-disclaimer regime does not truly exempt satire and parody in a meaningful way. On that theory, the state is not banning parody outright, but it is still burdening it by forcing a government-prescribed AI warning onto the message.

    That is the core purported-conditional-carveout problem.

    New Mexico's defendants had not yet answered when this draft was prepared, so the cleaner frame is narrower. The Bee alleges that the compelled label changes the message and cuts against the point of the satire itself, and the complaint also cites a nonbinding state attorney-general opinion that treated the satire language as providing no meaningful exemption beyond the disclaimer already required elsewhere in the statute. That means this article is using New Mexico as an alleged conditional-carveout model under current pleadings, not as a final judicial holding about what the statute means.

    That is not a side issue. It is the main constitutional question.

    Hawaii Shows What Happens When Courts Do Not See A Real Carveout

    Hawaii is the cautionary example on the other side.

    In The Babylon Bee v. Lopez, the district court granted summary judgment to the plaintiffs and permanently enjoined Act 191 on January 30, 2026. The court's reasoning was broader than the carveout issue alone, but the absence of a sufficient explicit or implicit satire/parody exception was still one important part of the analysis. That is why Hawaii fits best in the no-clear-carveout bucket.

    Hawaii matters because it shows that a court may not be satisfied by broad state assurances that the law is aimed at deception rather than humor. If the text does not clearly protect the expressive category, the state may still lose on broader First and Fourteenth Amendment grounds. Hawaii officials later closed the case without appealing.

    Why This Is The Real Doctrinal Pressure Point

    The common feature across these statutes is not merely that they regulate AI. It is that they regulate political communication that may include AI-generated image, audio, or video.

    Once that communication also includes satire or parody, the state is no longer only policing falsity. It is touching a form of political expression that often works by exaggeration, inversion, and deliberate literal untruth.

    That is why courts are likely to care less about abstract labels like "disclosure law" or "deepfake law" and more about the exact treatment of parody in the operative text.

    This is also why a state can lose even if it has a plausible anti-deception purpose. Purpose alone does not answer the compelled-speech and overbreadth problems.

    Bottom Line

    In the selected statutes and current Bee litigation, one of the clearest splits is not just disclosure versus prohibition.

    It is whether the statute clearly protects satire and parody, protects them only on conditions, or does not protect them clearly at all.

    Arizona, California, Hawaii, and New Mexico are useful comparison states precisely because they do not all answer that question the same way. For lawyers, legislators, and judges studying this selected-state cluster, that is where one of the clearest current pressure points sits.

    Sources and Related Clearon Coverage

  • Kohls v. Ellison Did Not End Minnesota’s Election AI Law Fight on the Merits

    Kohls v. Ellison Did Not End Minnesota’s Election AI Law Fight on the Merits

    Kohls v. Ellison Did Not End Minnesota's Election AI Law Fight on the Merits

    Minnesota is easy to misread if you look only at the result.

    The challengers in Kohls v. Ellison did not win preliminary relief against Minnesota's election deepfake statute. The Eighth Circuit affirmed the district court, and rehearing was later denied.

    That can sound like a clean appellate approval of the law. It was not.

    The more careful description is that the Eighth Circuit affirmed without resolving the underlying constitutional merits of the statute itself. That makes Minnesota an important but limited precedent in the growing fight over election-related AI laws.

    The statute sits in the same field, but the case is different

    The operative law is Minn. Stat. § 609.771, titled "Use of deep fake technology to influence an election."

    Minnesota therefore belongs in the same general field as California, Hawaii, New Mexico, Arizona, and other states regulating synthetic election media in some form. But its litigation story is procedurally different from the Babylon Bee cases.

    That difference is the whole point.

    What happened on appeal

    The Eighth Circuit appeal in No. 25-1300 came from the district court's denial of preliminary relief.

    The appellate docket shows that judgment was entered on February 9, 2026, affirming in accordance with the panel opinion. Later entries show that the appellants sought rehearing and rehearing en banc, and that both requests were denied on March 31, 2026.

    That gives Minnesota a firmer appellate procedural history than some other election-AI cases now cited around the country. But it does not mean the Eighth Circuit gave the statute a sweeping constitutional endorsement.

    Why the merits limitation matters

    The best way to describe Minnesota's significance is narrow.

    A lot of commentary collapses "the plaintiffs lost the injunction appeal" into "the law was upheld." Those are not always the same thing. A court can deny preliminary relief without giving the state a full merits victory on the substance of the First Amendment challenge.

    That is what makes Minnesota useful but incomplete as precedent.

    What Minnesota does tell other states

    Minnesota still carries real lessons.

    First, plaintiff-specific delay matters. The Eighth Circuit treated Mary Franson's insufficiently explained sixteen-month delay as fatal to the irreparable-harm showing required for preliminary relief.

    Second, standing still does real work in this area. The court held that Christopher Kohls had not established standing on the preliminary-injunction record, while Franson had standing to press her own challenge.

    Third, the absence of preliminary merits relief does not eliminate litigation risk for similar statutes elsewhere. It means only that the Minnesota challengers did not obtain the procedural posture they needed.

    Why Minnesota still matters for New Mexico and the Bee cases

    Minnesota is not a Babylon Bee case, and that distinction matters.

    The Bee cases put pressure on satire, parody, and compelled-warning issues in a specific way. Minnesota's appeal posture is most useful for a different lesson: a state can survive the preliminary-injunction stage without obtaining a full appellate ruling that its law is constitutional.

    So if the point is that challengers can lose early because one plaintiff lacked standing and another waited too long to show urgency, Minnesota helps. If the point is that an appellate court has already blessed the constitutional merits of a state election-AI law, Minnesota does not support that proposition.

    Bottom line

    Kohls v. Ellison did not end Minnesota's election-AI fight with a sweeping merits decision.

    What it shows instead is how much election-law procedure can shape outcomes. The Eighth Circuit affirmed the denial of preliminary relief, rehearing was denied, and the district case remained alive afterward.

    The cleaner takeaway is narrower but still important: Minnesota shows that a state can survive an early challenge without receiving a full appellate ruling on whether its election-AI law ultimately survives First Amendment scrutiny.

    This article summarizes a pending election-law challenge and related procedural rulings. It does not provide legal advice.

  • Babylon Bee v. Bonta Shows Why California’s Election AI Laws Cannot Be Treated as One Thing

    Babylon Bee v. Bonta Shows Why California’s Election AI Laws Cannot Be Treated as One Thing

    Babylon Bee v. Bonta Shows Why California's Election AI Laws Cannot Be Treated as One Thing

    California is still the most useful comparison state for the New Mexico Babylon Bee case. But it only helps if it is described carefully.

    Too much commentary treats California's election-AI fight as though one law did all the work. That is not the cleanest way to understand the dispute. California enacted two related 2024 measures, and they do not handle platform duties, satire, parody, and compelled treatment of election content in the same way.

    That distinction matters because Babylon Bee v. Bonta is not just a story about whether California may regulate deceptive election media. It is also a story about how statutory design changes the constitutional analysis.

    California enacted two different measures

    The relevant California measures are AB 2655 and AB 2839.

    AB 2655, chaptered as Chapter 261 on September 17, 2024, added Elections Code provisions beginning at Section 20510 under the "Defending Democracy from Deepfake Deception Act of 2024" and took effect on January 1, 2025.

    AB 2839, chaptered the same day as Chapter 262, added Elections Code Section 20012 and took effect immediately as an urgency measure. Its legislative topic line is "Elections: deceptive media in advertisements."

    That is the first point lawyers should keep straight. California did not enact one broad election-AI law. It enacted at least two separate measures in the same policy lane, with different structures and different constitutional pressure points.

    The litigation split mattered too

    The Bee plaintiffs sought immediate preliminary relief against AB 2839 in October 2024. California officials later agreed the statute could not be enforced against ADF's clients after the court in Kohls v. Bonta concluded it likely violated the First Amendment.

    The bigger district-court turning points came in August 2025, and they were not the same ruling.

    On August 20, 2025, the court entered final judgment and a permanent injunction as applied to X and Rumble as to AB 2655 on Section 230 preemption grounds. A later stipulation and order extended non-enforcement protection to other providers of interactive computer services, unless that judgment is vacated on appeal.

    On August 29, 2025, the court granted summary judgment and permanently enjoined enforcement of AB 2839 against the named plaintiffs on First Amendment grounds.

    That distinction matters because AB 2655 did not fall on a single broad holding that every part of it was unconstitutional. The platform-duty regime was treated as preempted by the Communications Decency Act, while the AB 2839 ruling squarely addressed the First Amendment.

    Why the statutory split matters

    California is a bad comparison state if it is used sloppily.

    AB 2655 is the platform-duty statute in the California pair, even though it also contains an express satire/parody exemption. AB 2839 is the more direct speaker-and-distributor statute, and its treatment of satire and parody still turns on disclosure mechanics.

    That difference matters because a court may respond differently to a large-platform removal and labeling regime than to a law that directly regulates political speakers and distributors.

    California's litigation value is not just that "California lost." Its value is that the case shows how much constitutional weight can turn on the exact way a legislature writes a synthetic-media rule.

    Why California still matters for New Mexico

    New Mexico's case is narrower than the full California fight, but California remains the nearest high-profile comparison.

    The Bee's New Mexico complaint is mainly aimed at the year-round advertisement-disclaimer regime in HB 182, not every part of the statute's separate ninety-day prohibition structure. That makes California especially relevant because California's dispute also placed heavy pressure on election-related speech rules touching political memes, parody, and compelled treatment of synthetic media.

    California therefore supplies at least three useful questions for New Mexico:

    1. How closely will a court read the exact statutory text instead of the state's general anti-deception rationale?
    2. Will the court treat satire and parody as clearly protected in practice, not just in theory?
    3. When a law forces labels, removals, or other compelled treatment of political content, how much tailoring is enough?

    What California does not prove

    California should not be overstated.

    The district-court result does not automatically decide what happens in New Mexico or elsewhere. California sits in the Ninth Circuit. New Mexico sits in the Tenth. The statutes are not identical, and neither is the procedural posture.

    California also does not prove that every election-related AI disclosure statute is unconstitutional. What it shows is narrower and more useful: courts can treat these laws as serious burdens when they impose platform duties, compelled labels, or other direct treatment of political satire and parody.

    Bottom line

    Babylon Bee v. Bonta matters because California's election-AI laws cannot be analyzed as one undifferentiated package.

    The state enacted AB 2655 and AB 2839 as separate measures. The litigation then turned California into the clearest live example of how statutory design, platform duties, satire treatment, and compelled-speech problems can collide in this area.

    For lawyers watching New Mexico and other state election-AI fights, California is still the comparison state that deserves the closest reading. It just should not be flattened into a one-law story.

    This article summarizes enacted California measures and related litigation materials. It does not provide legal advice.

  • Selected US State AI Election Law Comparison: A Working Memo on Enacted Laws, Disclaimers, Satire, and Litigation

    Selected US State AI Election Law Comparison: A Working Memo on Enacted Laws, Disclaimers, Satire, and Litigation

    Selected US State AI Election Law Comparison: A Working Memo on Enacted Laws, Disclaimers, Satire, and Litigation

    This is a selected-state comparison memo, not a final 50-state survey.

    As of June 23, 2026, the National Conference of State Legislatures said 31 states had enacted some form of election-related AI or synthetic-media law. That NCSL count is the baseline. This article reviews a smaller enacted subset closely enough to compare the main statutory models and the litigation issues now surfacing in the New Mexico, California, Hawaii, and Minnesota disputes.

    That distinction matters. The article is meant to clarify the main models in the field, not to claim that only a handful of states have acted.

    1. Start with enacted laws, not just litigated laws

    The enacted-law field is broader than the states already in court.

    From the materials verified for this memo, the enacted set clearly includes at least Alabama, Arizona, California, Colorado, Florida, Hawaii, Idaho, Indiana, Mississippi, New Mexico, New York, Oregon, Utah, and Wisconsin, alongside other states included in the NCSL total.

    That means New Mexico is not operating in a narrow outlier group. It is part of a substantial and still-growing state-law field.

    2. One common model is disclosure

    Under the disclosure model, a state permits election-related synthetic media at least in some circumstances but requires the speaker to add a warning or disclosure. The trigger often turns on timing, medium, or whether the content depicts a candidate or ballot issue.

    The directly verified examples reviewed for this memo include:

    • Colorado: candidate-election deepfake disclosures with enforcement and private-cause-of-action features.
    • Florida: disclaimers for certain political advertisements, electioneering communications, and related ads that use AI.
    • Indiana: disclaimer requirement when campaign communication includes fabricated media depicting a candidate.
    • New York: political communications using materially deceptive media must carry the statute's disclosure language.
    • Oregon: campaign communications using synthetic media must say the content has been manipulated.
    • Utah: synthetic audio and visual election communications must carry prescribed words.
    • Wisconsin: AI-generated audio or video political ads require disclosure.

    Some statutes sit near the line because they use prohibition language while also tying lawful distribution or exceptions from liability to disclosure mechanics. That overlap matters because it shows why simple labels can hide meaningful structural differences.

    3. Another model is prohibition plus disclosure or safe harbor

    A second model uses prohibition language aimed at deceptive or materially deceptive election media, often with a disclosure safe harbor or adjacent exception. These are not pure bans in the ordinary sense. They are hybrid statutes.

    The verified examples reviewed for this memo include:

    • Alabama: makes certain materially deceptive election communications criminal when distributed to influence an election, subject to statutory exceptions.
    • Arizona: bars deceptive synthetic media close to an election unless the required disclosure is included.
    • Hawaii: reaches reckless distribution of materially deceptive media in candidate elections, subject to listed exclusions and defenses.
    • New Mexico: uses a ninety-day rule tied to knowledge, intent to mislead voters, and likelihood of that result, with a disclaimer safe harbor.

    This is where precision matters for New Mexico. Section 1-19-26.8 is the ninety-day prohibition provision. The Bee's complaint, however, principally challenges the separate year-round advertisement-disclaimer provisions in Section 1-19-26.4.

    4. Satire and parody are the real fault line

    Satire and parody are the hardest comparison point because state laws handle them in very different ways.

    The safest framework is to separate three possibilities:

    • Express carveout: the statute excludes satire or parody from the operative restriction.
    • Conditional carveout: the statute mentions satire or parody but still conditions lawful use on a disclaimer or other required treatment.
    • No clear carveout: the statute does not clearly spare satire or parody, or the exception is too uncertain to summarize confidently from the available text.

    Arizona belongs in the express-carveout bucket. Colorado, New York, and Oregon also use express satire/parody exclusions in the enacted measures cited for this memo.

    California should not be treated as a single blended model. Enacted AB 2655 contains an express satire/parody exemption, while enacted AB 2839 uses a disclosure-conditioned exception that still ties lawful use to label mechanics.

    New Mexico fits the conditional-carveout bucket for purposes of the Bee's complaint because the Bee argues the statute does not truly exempt satire and parody from the challenged ad-disclaimer rule.

    Hawaii is different again. In The Babylon Bee v. Lopez, the district court concluded the law lacked an explicit or implicit satire/parody exception sufficient to save it.

    That is why Arizona, California, Hawaii, and New Mexico are useful comparison points. They do not use the same carveout model.

    5. The litigation cluster still centers on four states

    As of August 12, 2026, the clearest litigation cluster remains:

    • California: AB 2839 and related AB 2655 litigation, with district-court summary-judgment and permanent-injunction relief on key claims and an active Ninth Circuit appeal.
    • Hawaii: Act 191 / S 2687, where the district court entered a permanent injunction and the case later closed without an appeal after a fee settlement.
    • Minnesota: Minn. Stat. § 609.771, where the district court denied preliminary relief and the Eighth Circuit affirmed that denial without reaching the constitutional merits, relying on standing and delay.
    • New Mexico: HB 182, with the Bee's complaint filed on August 11, 2026.

    Litigation status is useful, but it is not a complete proxy for statutory strength. Some laws remain untested because no plaintiff has brought the right case yet.

    Working takeaways

    Several points are already clear.

    First, election-related AI laws are now common enough that New Mexico cannot be treated as a one-off.

    Second, the most important split is not disclosure versus prohibition in the abstract. Many states combine both techniques.

    Third, the key pressure point in the Bee cases is how a statute treats satire and parody. That is where Arizona, California, Hawaii, and New Mexico become especially useful comparison states.

    Fourth, New Mexico's lawsuit should be described carefully. The Bee is not challenging every moving part of HB 182. The complaint is aimed mainly at the year-round advertisement-disclaimer regime, while the statute separately contains a ninety-day prohibition rule.

    Bottom line

    New Mexico sits inside a larger and still-growing state-law field, even if this article only closely reviews a selected subset.

    The most useful comparison question for the current litigation is narrower than a full 50-state inventory. It is whether courts will treat required AI warnings on political satire as a permissible election safeguard or as an unconstitutional burden on protected speech.

    This article is a selected-state comparison memo based on enacted statutes and current litigation materials. It does not provide legal advice.

  • Babylon Bee’s New Mexico Lawsuit Tests the State’s AI Ad Disclaimer Rule

    Babylon Bee’s New Mexico Lawsuit Tests the State’s AI Ad Disclaimer Rule

    Babylon Bee's New Mexico Lawsuit Tests the State's AI Ad Disclaimer Rule

    The Babylon Bee has opened another front in the fight over state election-deepfake laws, this time in New Mexico.

    On August 11, 2026, the Bee sued members of the New Mexico State Ethics Commission in federal court. The case is The Babylon Bee, LLC v. Castillo, No. 1:26-cv-02628, in the District of New Mexico.

    The complaint does not attack every part of HB 182. Its main target is the law's year-round disclaimer regime for certain covered political advertisements. The Bee argues that those provisions force protected satire and parody to carry a government-prescribed AI warning.

    That framing matters because New Mexico's statute has more than one moving part, and the lawsuit is aimed chiefly at one of them.

    What New Mexico's law does

    New Mexico's 2024 HB 182 amended the Campaign Reporting Act in two different ways relevant here.

    First, Section 1-19-26.4 imposes disclaimer rules on certain election-related advertisements containing materially deceptive media. The required disclaimer format varies by image, video, audio, or mixed media.

    Second, Section 1-19-26.8 creates a separate ninety-day prohibition. It makes it unlawful to distribute materially deceptive media when the speaker knows the media falsely represents the depicted individual, distributes it within ninety days before an election, intends to alter voting behavior by misleading voters, and the distribution is reasonably likely to do so. That provision includes its own disclaimer safe harbor and criminal penalties for willful and knowing violations.

    Those sections are related, but they are not interchangeable. The Bee's complaint is principally aimed at the advertisement-disclaimer provisions, not the separate ninety-day prohibition.

    HB 182 defines "materially deceptive media" as image, video, or audio that depicts an individual engaged in speech or conduct in which the person did not engage, was publicly distributed without the depicted individual's consent, and was produced in whole or in part using artificial intelligence.

    Why the Bee says the law is unconstitutional

    The Bee does not frame the case as a defense of deceptive campaign tricks in general. The complaint alleges compelled speech, overbreadth, vagueness, and content-, viewpoint-, and speaker-based discrimination, both facially and as applied.

    The core theory is that satire, parody, cartoons, and memes often rely on exaggeration, inversion, and literal falsity to make a political point. The Bee says forcing a prescribed AI disclaimer onto that type of expression alters the message and undercuts the joke.

    The complaint also emphasizes that New Mexico did not exempt satire and parody from the challenged disclaimer requirement. It distinguishes between the statute's exclusion for news stories or editorials from the definition of "advertisement" and a separate safe harbor for broadcasters carrying covered material during bona fide news programming.

    Why California and Hawaii matter

    The New Mexico case fits a growing pattern of First Amendment challenges to state election-synthetic-media laws.

    In California, the Bee and related plaintiffs obtained district-court relief against AB 2839, the state's deceptive-media-in-advertisements law. That ruling is part of the larger Babylon Bee v. Bonta litigation, and the California appeal remains active in the Ninth Circuit.

    In Hawaii, the Bee won a permanent injunction against Act 191 in The Babylon Bee v. Lopez. The district court enjoined enforcement in January 2026, and the case later ended without an appeal after a fee settlement.

    Those rulings do not control a federal court in New Mexico. They do, however, show that courts have already treated some state election-synthetic-media laws as serious First Amendment problems when the rules reach political satire or impose broad compelled disclosures.

    Why this case matters beyond the Bee

    As of June 23, 2026, the National Conference of State Legislatures said 31 states had enacted some form of election-related AI or synthetic-media law. The policy trend is real.

    The harder question is how far states may go when regulating content that includes protected political expression, including parody, caricature, ridicule, and political memes.

    That is why the New Mexico case matters beyond one plaintiff. It puts pressure on a common legislative strategy: permit the speech but require a disclosure label when the content falls within the statute's definition of materially deceptive media.

    What to watch next

    Three issues are likely to matter most.

    First, how tightly the court defines the challenged provisions. The case may turn less on the broad idea of election deepfakes and more on whether New Mexico can apply its ad-disclaimer rule to satire and parody.

    Second, whether the state can meaningfully distinguish its statute from the California and Hawaii laws. The text differences matter, and so does the separation between New Mexico's ad-disclaimer regime and its ninety-day prohibition.

    Third, how the court treats the relationship between satire and deception. The Bee's position is that protected satire can depict events that did not happen while still conveying an obvious political message in context. New Mexico will likely argue that the statute targets voter deception, not humor as such.

    Bottom line

    This case chiefly concerns HB 182's advertisement-disclaimer regime, not every part of the law or its separate ninety-day prohibition.

    Its broader significance is where courts draw the constitutional line when election-AI disclosure rules reach protected satire and parody.

    This article summarizes a newly filed federal complaint and related constitutional issues. It does not provide legal advice.

  • Seventh Circuit Says Citation Verification Is Not Just the Filer’s Problem

    Seventh Circuit Says Citation Verification Is Not Just the Filer’s Problem

    Seventh Circuit Says Citation Verification Is Not Just the Filer's Problem

    The Seventh Circuit added an important wrinkle to the growing line of AI-citation cases. The filing lawyer still owns the duty to verify authorities and quotations. But the court also suggested that opposing counsel may face criticism for failing to identify serious citation defects and bring them to the court's attention.

    That is the practical lesson from Dec v. Mullin, a March 30, 2026 immigration decision. The underlying appeal was not about AI. The warning came from the briefing.

    Petitioner's counsel cited two nonexistent cases and included a false quotation in the standard-of-review section. At oral argument, counsel denied using AI. A later letter said she had presumably copied and pasted the language from another brief she could not locate and had failed to verify the citations.

    The Seventh Circuit admonished counsel but stopped short of stronger sanctions. The court emphasized that the errors appeared unintentional, counsel was contrite, and the fabricated authorities were used to support an undisputed legal standard rather than a contested merits issue.

    The more interesting point was about the other side

    The court repeated the familiar rule that trained lawyers must verify the citations and quotations in their own filings. But it then added that opposing counsel's failure to catch the defects and bring them to the court's attention also gave it pause, even if to a lesser degree.

    That is not the same thing as announcing a free-standing duty to audit every sentence in an adversary's brief. The panel did not create such a rule. Still, the signal is clear. When serious authority defects are discovered, courts may expect someone on the other side to raise the problem rather than let it slide.

    Why this matters

    Most sanctions coverage still focuses on the lawyer who filed the defective brief. That remains the main risk, and Dec does not change it.

    What the case adds is a response-side lesson. Citation verification is not just a filing control. It is also part of litigation hygiene once the defect is visible.

    If opposing counsel discovers a nonexistent case, a quotation that does not appear in the source, or a proposition that does not match the cited authority, waiting until oral argument or final disposition may not be the safest choice. The better course may be to raise it promptly through a procedurally appropriate channel.

    That framing fits the broader case pattern. In United States v. Farris, the Sixth Circuit focused on the filing lawyer's failure to verify quotations and case descriptions generated through Westlaw CoCounsel. In Lnu v. Blanche, the Ninth Circuit treated candor after discovery of the error as a major part of the discipline analysis. Dec does not conflict with those cases. It rounds them out.

    A better litigation response pattern

    Law firms do not need a broad new doctrine to act on this. They need a cleaner escalation rule.

    When an adversary filing appears to contain fabricated or materially inaccurate authority, teams should:

    • verify the cited source directly before making the accusation;
    • preserve the defective language and the source comparison;
    • decide quickly whether the issue should be raised through a letter, motion, meet-and-confer process, or the next scheduled hearing;
    • avoid overclaiming if the problem is sloppiness rather than fabrication; and
    • treat the issue as a filing-integrity problem, not a chance for rhetorical theater.

    Bottom line

    Dec v. Mullin does not create a formal duty to re-edit the other side's brief. It does something more practical. It suggests that when serious authority defects are discovered, courts may expect somebody on the other side to say so.

    The filing lawyer still has the primary burden. But the safest appellate posture now looks broader than that: verify your own filing, and if the other side's filing contains serious authority defects, do not assume the court will be impressed if nobody raises them.

    This article summarizes a published appellate decision and related litigation-risk implications. It does not provide legal advice.

  • Four Courts in Three Days Show Citation Failure Is a Filing Risk, Not Just an AI Risk

    Four Courts in Three Days Show Citation Failure Is a Filing Risk, Not Just an AI Risk

    Four Courts in Three Days Show Citation Failure Is a Filing Risk, Not Just an AI Risk

    In a span of three days in early August 2026, four separate courts took action on fabricated, unsupported, or AI-tainted citations. The responses ranged from warnings and published reprimands to monetary sanctions and ongoing verification requirements.

    The cluster matters because it shows the issue moving from isolated incidents to a recognizable pattern across jurisdictions and procedural postures.

    The cases at a glance

    • A federal district court sanctioned a lawyer and imposed a future certification requirement after hallucinated citations appeared in multiple filings.
    • A state appellate court issued a published reprimand after counsel relied on nonexistent authorities.
    • Two other matters involved AI-generated or unsupported citations that triggered show-cause orders or corrective action.

    What stands out is not just the volume, but the range of consequences. Courts are no longer treating these as one-off mistakes. They are treating them as failures of competence and candour that require both punishment and forward-looking controls.

    Why this cluster is different

    Earlier cases often focused on whether the lawyer “should have known” the citation was bad. These decisions increasingly emphasize what the lawyer did after the problem surfaced — how quickly they corrected it, whether they were candid with the court, and whether they put systems in place to prevent recurrence.

    That shift matters for risk management. The exposure is no longer limited to the initial filing error. It now includes the response.

    Practical takeaway

    Firms should treat citation verification as a non-delegable responsibility with documented workflows, not a box-checking exercise. When AI tools are involved, the record should show what the tool produced, what was changed, who reviewed it, and why any remaining risk was accepted.

    The four-court cluster is a reminder that citation failures are no longer rare events that can be handled case-by-case. They are becoming a recurring litigation risk that requires systemic controls.

  • Ontario Lawyer Suspension Moves AI-Citation Failures Into Professional Discipline

    Ontario Lawyer Suspension Moves AI-Citation Failures Into Professional Discipline

    Ontario Lawyer Suspension Shows AI Citation Failures Can Trigger Professional Discipline

    A six-month licence suspension in Ontario demonstrates how quickly an AI-assisted filing error can escalate into a professional-discipline matter when false authorities are followed by misleading statements to the court and dishonesty with the regulator.

    On July 16, 2026, the Law Society Tribunal found that Toronto lawyer Mary Hyun-Sook Lee committed professional misconduct after submitting a factum prepared with generative AI that contained nonexistent or irrelevant case law. The Tribunal ordered a six-month suspension and C$10,000 in costs.

    The panel did not treat this as a simple verification failure. It identified three distinct forms of misconduct:

    • Failure to serve the client competently (Rule 3.1-2)
    • Deliberately misleading the court (Rule 5.1-2)
    • Dishonesty with the Law Society about the use of AI (Rule 2.1-1)

    Why the distinction matters

    Many AI citation cases focus narrowly on whether the lawyer verified the authorities. The Ontario decision adds an important layer: a lawyer’s response after discovering an AI-related error can itself become independent grounds for discipline.

    The panel treated the lawyer’s statements to the court and to the regulator as separate from the initial citation errors. That framing has direct implications for how firms design escalation and disclosure protocols when AI tools produce problematic output.

    Practical implications

    The decision supports several concrete controls:

    • Verify the filed version, not just earlier drafts.
    • Preserve the drafting record so the firm can determine what the AI produced and what was changed.
    • Define an escalation path that includes timely correction and accurate disclosure to the court or regulator.
    • Treat regulatory responses with the same care as representations to a court — the dishonesty finding shows these statements can become part of the misconduct case.

    Bottom line

    AI citation problems are no longer limited to warnings or monetary sanctions. They are now reaching professional discipline, with licence suspensions based on a combination of AI-generated authorities, misleading advocacy, and lack of candour during the regulatory process.

    Verification remains essential, but it is only the first control. Legal teams also need reliable records, a clear correction process, and a plan for accurate responses when a court or regulator starts asking questions.

    This article summarizes a published professional-discipline order. It does not constitute legal advice.

    Sources

    • Law Society Tribunal order (July 16, 2026)
    • Tribunal case-document guidance
    • Clearon AI Courts and AI tracker
  • The EU AI Act’s Enforcement Phase Is Here. What Can Your Company Prove?

    The EU AI Act’s Enforcement Phase Is Here. What Can Your Company Prove?

    The EU AI Act's Enforcement Phase Is Here. What Can Your Company Prove?

    August 2, 2026, was not the day the entire EU AI Act suddenly switched on. It was the day regulators began enforcing the provisions already in application, while Article 50's transparency duties took effect.

    That distinction matters because many internal summaries still collapse the timeline into a single compliance date. The real question is narrower and more useful: can the company identify the systems it provides or uses in the EU, assign the correct legal role, map the applicable duty, and produce evidence that the control actually works?

    August 2 was an enforcement milestone, not a universal deadline

    Regulation (EU) 2026/1744 reset the timetable for major high-risk obligations, but it did not postpone Article 50. Nor did August 2 place every AI Act issue in the AI Office's hands. Enforcement remains divided, with national authorities handling much of the current supervision and the AI Office holding direct powers in narrower areas such as general-purpose AI models.

    The timeline is easier to manage when separated into the parts that are already active and the parts that are still ahead:

    • February 2, 2025: Article 4's AI-literacy duty took effect.
    • August 2, 2026: Article 50 transparency duties took effect, and authorities began enforcing rules already in application.
    • December 2, 2026: the limited transition ends for certain pre-August-2 systems subject to Article 50(2)'s marking and detection duty.
    • December 2, 2027: the main Annex III high-risk requirements move into application under the amended schedule.
    • August 2, 2028: high-risk requirements for AI embedded in regulated products move into application.

    A company that says only that "the AI Act applies from August 2" is missing the structure regulators will expect it to understand.

    The first regulator-facing question is evidence

    The practical challenge is no longer whether the legal team can summarize the timetable. It is whether the business can produce system-level evidence on demand.

    For each material system or model, a company should be able to identify:

    • the system or model;
    • the legal entity responsible;
    • the company's role as provider, deployer, importer, distributor, or more than one;
    • when the system or model was placed on the EU market or put into service;
    • which provisions are currently applicable; and
    • the factual basis for any exclusion, exception, or transition period.

    A spreadsheet that labels something "out of scope" without an explanation is not an evidence file. It is a conclusion.

    Article 50 controls have to work in the real workflow

    Article 50 reaches visible behavior and published outputs. Depending on the system and the party's role, it may require notice of AI interaction, machine-readable marking of certain generated or manipulated content, notice for emotion-recognition or biometric-categorization exposure, deepfake labels, and disclosure of certain AI-generated or manipulated public-interest text.

    The compliance question is not whether those requirements appear in a memo. It is whether they appear where users actually encounter the system and whether they survive the real publishing or product workflow.

    Teams should be able to show the notice, label, or marking method; the system version it covers; the test results; any technical limits; and the owner of exceptions or edge cases. For deepfakes and public-interest text, they should also be able to show whether the label survives publication and redistribution.

    Article 4 needs more than a generic training slide deck

    Article 4 is easy to reduce to annual training. Its amended text points to something more context-specific.

    A marketing team using generative AI for copy, a recruiting team using AI in hiring, and a trust-and-safety team reviewing user content do not present the same literacy needs or the same risk. A regulator may want to know who was covered, what guidance they received, when it was updated, and what changed after incidents or audits.

    That means AI literacy needs its own record, not just a reference in a general compliance presentation.

    Enforcement authority is divided, and the file should reflect that

    National market surveillance authorities are the main enforcers of Articles 4 and 50. The European Data Protection Supervisor enforces Article 50 for AI systems used by EU institutions, bodies, and agencies. The AI Office's Article 50 role is narrower, while its powers over general-purpose AI models are more direct.

    One generic "EU regulator" folder is likely to create confusion. The stronger approach is to identify the likely authority for each product, model, or deployment and index the evidence file accordingly.

    The practical file companies should have now

    The most useful near-term deliverable is a compact enforcement file for each material system or model. It should contain:

    • the system and role classification;
    • the applicable-duty and transition-date analysis;
    • the named business, legal, and technical owners;
    • the control description and implementation evidence;
    • testing results, known limitations, and approved exceptions;
    • AI-literacy records relevant to the system;
    • vendor documents and contract rights relevant to the duty; and
    • a retrieval index showing where the current records live.

    The goal is not to predict the first headline enforcement action. It is to answer a focused regulatory question without opening an internal investigation just to locate the facts.

    Bottom line

    August 2 did not activate the entire AI Act. It moved the rules already in force into a more concrete enforcement phase.

    Companies should separate active duties from delayed high-risk requirements, map the correct authority, and test whether their evidence can be retrieved at the level of a specific system, model, version, and workflow.

    The best measure of readiness is not whether the company has an AI Act slide deck. It is whether it can prove what control applied to a specific system and whether that control actually worked.

    Sources and Related Clearon Coverage

    This article summarizes the current EU AI Act enforcement timeline and related transparency duties. It does not provide legal advice.