Delaware Chancery Orders Lawyer and Firm to Explain GenAI Briefing Failures

The Delaware Court of Chancery just handed down a useful AI opinion, and the useful part is not a final sanctions award.

It is the court's decision to force both the signing lawyer and the law firm to explain, in detail, how a GenAI-tainted brief made it onto the docket.

In Kevin Leiske et al. v. Robert Gregory Kidd et al., Vice Chancellor Lori Will ordered Richard P. Rollo and Richards, Layton & Finger to show cause why they should not be sanctioned under Rule 11 and the court's inherent authority. The July 1 order says the answering brief contained fictitious citations, fabricated quotations, and hallucinated legal propositions. It also says the problems got worse after the errors were flagged.

That makes this more than another fake-citation story.

Why This Order Matters

The Delaware opinion is not just about whether a lawyer used AI badly.

It is about what a court wants to know after that happens:

  • who used the tool,
  • who entered the prompts,
  • how the output was incorporated,
  • who was supposed to verify it,
  • whether lawyers personally checked the authorities, and
  • what firm safeguards existed at the time.

That is a more mature court response than a generic warning not to trust AI.

The court is treating GenAI misuse as a workflow, supervision, and certification problem.

What The Court Said Happened

According to the order, the plaintiffs' January 22 answering brief contained false citations, fabricated quotations, and legal propositions that the cited authorities did not support.

The next day, after the defendants flagged the problems, plaintiffs' counsel acknowledged that a generative AI tool had been used to revise the brief. Counsel admitted the citations were not verified before filing and attributed the lapse to a paralegal's review.

That did not end the problem.

The court said the corrected brief removed quotation marks around erroneous statements of law but did not fix the underlying inaccuracies. It also took a dim view of counsel's argument that opposing counsel should have met and conferred before alerting the court. Vice Chancellor Will wrote that there is nothing to negotiate when a filing presents false citations to a tribunal.

That passage is worth remembering. Courts may expect parties to meet and confer over ordinary disputes. They are not likely to treat false authority in a filed brief as a routine discovery squabble.

The Firm Is In It Too

The sharpest part of the order may be the firm-level piece.

Delaware Chancery Rule 11(c)(1) says that absent exceptional circumstances, a law firm must be held jointly responsible for Rule 11 violations committed by its partners, associates, or employees. Vice Chancellor Will said this incident may implicate the firm's training, supervision, and deployment of GenAI, so the firm must answer alongside the signatory.

That is what makes the order especially useful for law firm leaders.

Many AI discussions still drift toward individual blame: which lawyer signed, which associate drafted, which paralegal cite-checked, which tool hallucinated. This order looks past that first layer. It asks what policies, training, and safeguards the firm had in place before the filing was made.

What The Court Wants Explained

The show-cause order requires separate affidavits from the signatory lawyer and an authorized firm representative by July 15.

For the lawyer, the court wants:

  • a timeline showing how and when the GenAI tool was used in drafting the brief;
  • who entered prompts and how the output was added to the filing;
  • a description of the cite-checking process before filing;
  • what instructions were given to paralegals;
  • what verification tools were used;
  • whether attorneys verified the cited text; and
  • why the corrected brief removed quotation marks but kept flawed legal propositions.

For the firm, the court wants:

  • written GenAI policies, guidelines, and restrictions that were in effect at the time;
  • how those policies were communicated to the lawyers and staff involved;
  • what internal safeguards or training the firm has implemented or plans to implement; and
  • any claimed exceptional circumstances for avoiding joint responsibility.

That is close to a court-issued AI governance checklist.

What This Means For Firms Using AI

The Delaware order does not hold that AI use in drafting is forbidden. In fact, Vice Chancellor Will repeated the now-familiar point that using GenAI in legal work is not inherently problematic if the output is carefully verified.

The problem is that verification cannot be vague, delegated away, or assumed.

If a court asks how an AI-assisted brief was produced, a firm should be ready to show more than a policy memo. It should be able to explain the actual workflow:

  • which tools were approved;
  • what legal and factual checks were required before filing;
  • whether the signing lawyer personally reviewed the sources;
  • how staff cite-checking fit into the process; and
  • what happens when an error is found after filing.

That is where a lot of firms are still thinner than they think.

Why This Is A Good Follow-On To The Recent Cases

Clearon has already covered opinions focusing on false quotations, fabricated authorities, and verification failures in appellate and trial-court filings.

The Delaware order adds a different layer. It is not just asking whether the brief was wrong. It is asking how the law firm's internal AI controls worked, and whether they worked at all.

That makes it a strong Courts and AI story. It sits at the intersection of court sanctions doctrine, supervisory responsibility, and practical AI governance inside firms.

Bottom Line

The Delaware Court of Chancery has not imposed final sanctions in Leiske yet. But the July 1 show-cause order already says a lot.

It says GenAI mistakes in a filed brief can become a Rule 11 problem. It says deleting quotation marks without fixing the legal proposition is not a real correction. And it says firms should expect courts to ask about policies, training, verification, and supervision when AI-assisted work goes wrong.

That is the part worth watching.

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