Tag: Courts / Litigation Practice

  • Oregon Supreme Court’s First AI Hallucination Sanctions Show What Courts Punish Most

    Oregon Supreme Court’s First AI Hallucination Sanctions Show What Courts Punish Most

    The Oregon Supreme Court has issued its first sanctions orders involving court filings attributed to generative artificial intelligence. The significance is not a new AI-specific rule. It is that the court applied familiar duties of accuracy, reasonable inquiry, supervision, and candor to filings containing AI-generated errors.

    They also show that the response after an error is discovered can matter almost as much as the original filing.

    In one case, a self-represented litigant accepted responsibility, fully responded to the court, and received a $500 sanction with permission to submit a corrected filing. In the other, self-represented litigants acknowledged fabricated authorities but submitted more nonexistent cases less than 12 hours after the court's show-cause order. The court struck their filings and dismissed the proceeding.

    The lesson extends well beyond Oregon and beyond self-represented litigants. Courts across the country have imposed monetary sanctions, fee awards, dismissal, disqualification, practice suspensions, bar referrals, mandatory disclosures, and other remedies for filings containing fabricated or materially inaccurate authorities.

    Key Takeaways

    • *The Oregon Supreme Court sanctioned self-represented litigants, not lawyers.* The orders make clear that the obligation not to inject false authority into a proceeding applies to everyone who files.
    • *Courts are punishing the filing, not the mere use of AI.* The recurring issue is whether the signer verified that authorities exist, quotations are accurate, and cases support the propositions asserted.
    • *Candor changes the sanction analysis.* Prompt disclosure, correction, and acceptance of responsibility can mitigate sanctions. Repetition, concealment, blame shifting, and misleading explanations can sharply increase them.
    • *The signature and supervision duties are nondelegable.* Lawyers cannot avoid responsibility by pointing to an associate, contract lawyer, local counsel, vendor, internal AI tool, or firm policy.
    • *Financial penalties are only part of the risk.* Dismissal, disqualification, suspension, bar referral, and mandatory notice to clients and other courts can be more consequential than a fine.

    Oregon's Two New Orders

    The Oregon Supreme Court issued both orders on June 4, 2026, and announced them publicly the next day.

    Aldridge v. Tussing: Repeating the Error Led to Dismissal

    In Aldridge v. Tussing, the relators filed a petition for a writ of mandamus supported by nonexistent cases and fabricated quotations. The court ordered them to verify every citation under penalty of perjury, explain the errors, and show cause why sanctions should not be imposed.

    The relators acknowledged that fabricated authorities had been included and attributed the errors to a service called LegalAI. But less than 12 hours after receiving the show-cause order, they submitted another declaration containing at least four nonexistent cases.

    The court struck the petition and the show-cause response and dismissed the proceeding. Its explanation was direct: injecting false precedent undermines the integrity of a proceeding, and repeating the conduct in response to a show-cause order warrants a meaningful sanction.

    Witkin v. McGreevy: Acceptance of Responsibility Mitigated the Result

    In Witkin v. McGreevy, a self-represented respondent filed a response containing fictitious authorities and inaccurate legal arguments generated with AI. After receiving a show-cause order, the respondent addressed each fabricated authority, explained the AI use, and accepted responsibility.

    The court still struck the filing and imposed a stipulated $500 sanction. But it allowed the respondent to file a corrected response, provided that any revised filing certified that every cited, quoted, or paraphrased source of law had been verified to exist.

    The contrast is the point. Both filings contained false authority. The litigant who responded candidly and corrected course received a limited financial sanction and another opportunity to file. The litigants who repeated the misconduct after a direct warning lost the proceeding.

    Oregon Already Had a Six-Figure Warning for Lawyers

    The state-court orders arrived only months after a separate federal case from Oregon demonstrated how large the financial exposure can become.

    In Couvrette v. Wisnovsky, the U.S. District Court for the District of Oregon addressed summary-judgment briefing containing nonexistent cases and fabricated quotations. The court struck the briefing, dismissed the plaintiffs' claims with prejudice, imposed monetary sanctions, and awarded the opposing parties $94,704.38 in fees and costs directly resulting from the briefing.

    The March 2026 fee order allocated the award between lead counsel and local counsel. The local lawyer was ordered to pay 15% after the court found that he had failed to meaningfully participate despite serving as required local counsel for a lawyer admitted pro hac vice. The lead lawyer was ordered to pay the remaining 85%. The court also required local counsel to attach the sanctions order to future motions in which he sought to sponsor pro hac vice counsel in the district.

    Together with the court's earlier monetary sanctions, the financial consequences exceeded $110,000. More important, the case shows that local counsel and supervising lawyers cannot treat their role as providing a name, bar number, or signature while leaving the substance unchecked.

    The Sanctions Menu Is Expanding

    The early headline case was Mata v. Avianca. In 2023, the Southern District of New York imposed a $5,000 penalty after lawyers submitted fabricated cases and fake opinions generated by ChatGPT and continued to defend the material after its authenticity was questioned. The court also required notice to the client and to judges falsely identified as authors of the fabricated opinions.

    Since then, courts have used a much broader range of remedies:

    • *Sanctions for every signer:* In Wadsworth v. Walmart, the District of Wyoming imposed $5,000 in combined sanctions and revoked one lawyer's pro hac vice admission after a filing cited eight nonexistent cases. The court treated the duty to ensure a filing is supported by existing law as nondelegable.
    • *A $10,000 appellate sanction:* In Noland v. Land of the Free, L.P., the California Court of Appeal imposed $10,000 in sanctions after an appellate brief contained fabricated quotations and other inaccurate authority. The published opinion warned that lawyers must personally read and verify the authorities they cite.
    • *Disqualification and bar referrals instead of a fine:* In Johnson v. Dunn, the Northern District of Alabama publicly reprimanded and disqualified three lawyers, required broad distribution of the sanctions order, and referred the matter to licensing authorities. The court concluded that a fine and public embarrassment were insufficient deterrents.
    • *Suspension from appellate practice:* In Lnu v. Blanche, the Ninth Circuit imposed $2,500 sanctions on each of two lawyers, suspended both from practice before the circuit for six months, required notice to clients, opposing counsel, judges, and the lawyers' firm, and imposed a two-year AI-use disclosure and verification requirement. The court emphasized that the more serious discipline resulted from repeated failures of candor after the errors came to light.
    • *Both sides sanctioned:* In Withers v. City of Aberdeen, the Northern District of Mississippi sanctioned and removed all four lawyers after filings from both sides contained hallucinated authorities. The two out-of-state lawyers were also barred from appearing in the district for two years.

    These cases do not establish a uniform sanctions schedule. They show that courts are calibrating remedies to the conduct, the harm, the lawyer's role, prior warnings, remediation, and candor.

    What Courts Appear to Punish Most

    The orders point to several aggravating factors.

    Filing Without Reading the Authorities

    Checking whether a case name exists is not enough. Courts expect lawyers to read the authority and confirm that quotations are accurate, procedural posture is correctly described, and the case actually supports the proposition asserted.

    The Ninth Circuit drew a useful distinction between fabricated authorities and subtler inaccuracies. A fake case may be easy to detect. A real case mischaracterized by an AI tool may be more dangerous because it can survive a superficial citation check.

    Treating Signatures as Administrative

    Courts repeatedly reject the idea that a lawyer can lend a signature without assuming responsibility for the filing. That principle reaches supervising lawyers, local counsel, partners, and lawyers whose names appear in signature blocks even when they did not personally use AI.

    Repeating or Concealing the Problem

    An inaccurate filing creates a serious problem. Misleading the court about how it happened, replacing fake citations without disclosing the original problem, or submitting additional fabrications after a warning creates a larger one.

    The Oregon Supreme Court's two orders make the distinction unusually clear. So does the Ninth Circuit's order in Lnu, where the court said lesser sanctions might have been warranted if the lawyers had promptly disclosed the AI use and accepted responsibility.

    Relying on a Policy Without Enforcing It

    Having a written AI policy is not a defense when actual workflows allow unverified material to reach the court. Policies must identify who checks citations, quotations, propositions, facts, and record references before filing. They also need a clear escalation process when an error is discovered.

    What Litigation Teams Should Do Now

    For a practical pre-filing workflow, use Clearon's AI-Assisted Legal Filing Verification Checklist.

    • Require verification of every citation, quotation, factual assertion, and record reference against the original source before filing.
    • Make the signing lawyer responsible for confirming that verification occurred.
    • Apply the same controls to work prepared by associates, contract lawyers, local counsel, clients, vendors, and AI tools.
    • Preserve enough information about the drafting and verification process to explain it accurately if questioned.
    • When an error is discovered, notify the court and opposing counsel promptly, identify the nature and source of the error, and propose a concrete correction.
    • Do not describe a fabricated authority as a typographical error or silently swap in a different citation.
    • Train lawyers to detect mischaracterizations of real cases, not only nonexistent citations.
    • Treat show-cause orders as urgent risk events requiring independent review and senior oversight.

    Bottom Line

    The Oregon Supreme Court's first AI-related sanctions orders do not ban AI. They show how courts protect the integrity of filings when AI-assisted work reaches the docket without real verification.

    The technology may explain how a false citation appeared, but it does not change who is responsible for filing it. Courts are increasingly focused on three questions: Was the filing verified? Who accepted responsibility for it? What happened after the error was discovered?

    The emerging sanctions record suggests that the last question can determine whether the result is a correctable mistake, a monetary penalty, a lost case, or a career-level disciplinary problem.

    For the broader court-rule landscape, see Federal Court AI Orders Are Splitting Into Clear Patterns and Clearon's AI Litigation Practice Tracker.

    Sources

    Sources

  • Weekend Legal AI Roundup: What lawyers should catch up on Monday

    Weekend Legal AI Roundup: What lawyers should catch up on Monday

    The weekend did not produce a flood of legal AI news, but it did leave a few developments worth carrying into Monday.

    The biggest late-Friday carryovers were a new statewide Florida court rule on AI-assisted filings and a clear Big Law signal that Kirkland & Ellis wants to build more of its own AI infrastructure instead of renting all of it.

    There was also a narrower but still relevant enforcement development: the FTC has begun rolling out its TAKE IT DOWN Act enforcement channel. That is not the lead enterprise-AI story of the week, but it belongs on the synthetic-media and platform-obligations watchlist.

    Here are the items worth catching up on before the week gets moving.

    Florida put a statewide rule around AI-assisted court filings

    The Florida Supreme Court issued a May 28 administrative order and companion rule amendments replacing circuit-by-circuit AI disclosure requirements with a single statewide standard.

    The new framework puts the emphasis on something much more practical than generic AI panic: lawyers remain responsible for the existence and accuracy of cited legal authorities, and courts have express sanctions language to back that up. The change takes effect June 15, 2026.

    This is one of the cleaner signs yet that courts are moving from scattered warnings to operational AI-use rules. Florida is not banning AI. It is doing something more durable: turning verification, supervision, and filing discipline into a statewide workflow expectation.

    That matters to litigators, supervising partners, and in-house teams that review outside-counsel AI policies.

    The practical Monday-morning takeaway is simple: if your team uses AI in drafting or cite-checking, this is a good week to confirm who verifies authorities, how that verification gets documented, and whether your written AI-use guidance still sounds abstract when the court rule now sounds concrete.

    Kirkland is spending like AI infrastructure is now a strategic asset

    Reuters reported on May 28 that Kirkland & Ellis plans to spend $500 million over the next three to four years building a proprietary AI platform, with $100 million expected in 2026 alone.

    The report says the firm will still license some outside tools, but the headline point is hard to miss: one of the world’s largest firms appears to think the long game is not just buying AI products, but owning more of the workflow layer itself.

    This is a stronger market signal than yet another vendor demo or partnership announcement. If elite firms are willing to treat AI as internal infrastructure, that sharpens the build-versus-buy question for everyone else.

    It also reinforces a trend Clearon has been tracking for weeks: competitive advantage may sit less in raw model access and more in governed context, firm-specific knowledge, integration, and control.

    The practical Monday-morning takeaway is that law firms and legal departments evaluating AI tools should ask a more serious architecture question than whether a feature looks useful. The better question is which capabilities belong in a vendor stack, which should sit behind internal controls, and what gets harder to unwind once workflow, precedent, and usage data start concentrating in one place.

    The FTC’s TAKE IT DOWN rollout is not a core enterprise-AI story yet, but it is worth watching

    The FTC announced that it has begun enforcing the TAKE IT DOWN Act and launched a complaint channel for failures to honor valid removal requests involving nonconsensual intimate imagery, including AI-generated abuse scenarios described in the agency’s rollout.

    This is not the lead item for most law firms or in-house AI governance teams, but it is a real compliance signal for platform operators, trust-and-safety counsel, and anyone tracking synthetic-media obligations.

    It also shows how fast AI-specific legal questions can get folded into ordinary enforcement machinery once a law is in place.

    The practical Monday-morning takeaway is that if your organization operates a platform, moderation workflow, or user-generated-content channel, this is a useful prompt to review takedown intake, escalation paths, and whether synthetic-media response procedures are documented well enough to survive regulator scrutiny.

    What to watch this week

    Watch whether Florida’s court-rule move gets copied elsewhere, and whether more legal organizations start talking openly about AI as infrastructure rather than software.

    The recurring question is getting clearer: who controls the workflow, who verifies the work, and where responsibility actually sits once AI is inside legal operations.