What the Order Actually Says
On June 8, 2026, U.S. District Judge Sharion Aycock of the Northern District of Mississippi issued a sanctions order in Withers v. City of Aberdeen (No. 1:24-cv-218-SA-RP) that removed every lawyer of record — on both sides — from a routine attorney-fee contract dispute. The case involved four attorneys: Kathleen M. Wilson (Louisiana) and Shauncey Hunter Ridgeway (Mississippi) for plaintiff Tom Withers III, and Kathryn Y. Williams (Texas) and Mark C. McClinton (Mississippi) for the City of Aberdeen. Filings from both teams contained case citations that do not exist — the now-familiar signature of unverified generative-AI legal research.
At a January 2026 show-cause hearing, Williams admitted she used an AI tool for research; Wilson admitted she used one to draft a filing outright; McClinton and Ridgeway admitted signing memoranda without checking the underlying sources. Aycock's order found each attorney violated Federal Rule of Civil Procedure 11, which requires that legal contentions be "warranted by existing law" and certified as such by the signing attorney (Fed. R. Civ. P. 11). She fined the four a combined $8,000 — $2,500 for Wilson, $3,500 for Williams, $1,000 each for McClinton and Ridgeway, calibrated to relative culpability — revoked the pro hac vice admissions of the two out-of-state lawyers and barred them from the district for two years, disqualified the two Mississippi-based attorneys from the case itself, and referred all four to their state bars (Bloomberg Law; Mississippi Free Press). She rejected Wilson's claim that she didn't know AI could fabricate cases as "insufficient and incredulous."
The Case for a Formal Judiciary-Wide AI Rule
The strongest argument against leaving this to ad hoc sanctions is consistency. Right now, AI governance in federal courtrooms is a patchwork: individual district judges write their own standing orders — some requiring AI-use disclosure and certification, at least one banning AI from filings outright — with no uniform baseline across the roughly 670 active district judgeships. Senate Judiciary Committee Chairman Chuck Grassley has publicly pressed the Administrative Office of the U.S. Courts and the Judicial Conference to develop formal, judiciary-wide guidance rather than leave the issue to scattershot local orders. A March 2026 Sedona Conference survey found more than 60% of responding federal judges already use at least one AI tool in chambers, while nearly half reported receiving no formal AI training from their court — a genuine competence gap on both sides of the bench. Litigants, the argument goes, deserve to know the rules before they walk into a courtroom, not after a judge decides ad hoc what "blindly relying on technology" means.
That's a fair concern, and it's why the Judicial Conference's Advisory Committee on Evidence Rules is separately working through a proposed Federal Rule of Evidence 707, which would subject AI-generated evidence offered without a human expert to a reliability hearing — a narrow, evidence-specific fix aimed at a different problem (machine-generated evidence, not lawyer-drafted arguments).
Why Rule 11 Is Already the Right Tool
But Withers itself is the best evidence that the lawyer-conduct half of this problem doesn't need a new rule — it needs judges willing to use the one that exists. Rule 11 has required attorneys to personally verify that their legal contentions are grounded in real law since 1938, decades before generative AI existed, because the underlying failure it targets — filing something you didn't check — is not new. Hallucinated citations are simply the newest way to commit an old violation. Aycock's order shows the rule scaling cleanly to that new fact pattern: she sanctioned both sides evenhandedly, scaled fines to actual conduct (the lawyer who drafted with AI paid more than the lawyer who merely failed to double-check), and used a graduated set of consequences — case-specific disqualification, a time-limited two-year bar rather than permanent disbarment, referral to bar authorities rather than the court imposing career-ending discipline itself. That is exactly what proportionate, case-by-case judicial discretion is supposed to produce, and it required no new statute to get there.
The national numbers support this reading rather than undercutting it. Researcher Damien Charlotin's widely cited tracker had logged roughly 1,490 AI-hallucination court decisions worldwide by May 2026, more than 1,000 of them in the U.S., with sanctions climbing from the $5,000 fine in the 2023 landmark Mata v. Avianca case to $15,000-per-attorney awards from a federal appeals court in early 2026 and a first-of-its-kind indefinite bar suspension in Nebraska in April (GC.ai sanctions tracker). Rising sanction totals reflect rising enforcement, not a legal vacuum — courts are finding these filings and punishing them under rules already on the books, with penalties escalating precisely because judges have discretion to raise the cost as the excuse of ignorance wears thin.
The Risk of Overcorrecting
A uniform federal AI-conduct code risks two failure modes a Rule 11 approach avoids. First, mandatory disclosure certifications can become checkbox theater — a lawyer who already lied about verifying a filing will just as easily check a box falsely certifying AI disclosure. Second, and more consequential for access to justice, a blanket restrictive rule would fall hardest on exactly the practitioners Withers involves: solo and small-town lawyers, in a case literally about legal fees in Aberdeen, Mississippi, who turn to AI research tools because they lack the paralegal support big firms take for granted. The Federal Judicial Center already publishes AI guidance for judges, and the evidentiary Rule 707 proposal is moving through the normal rulemaking process for the narrow problem it actually addresses. Layering a second, broader AI-specific conduct rule on top of Rule 11 would centralize what currently works as flexible, fact-sensitive deterrence — punishing the lawyer who doesn't check, not the tool they didn't check with.
"Their practice of blindly relying on technology resulted in the hallucinatory citations contained in their respective filings." — Judge Sharion Aycock, June 8, 2026 order