S.D.N.Y. and N.D. Illinois AI Hallucination Sanctions: A 2026 Docket Roundup

Two U.S. federal districts sit at the top of the AI-hallucination sanctions leaderboard, tied at 19 documented cases each: the Southern District of New York and the Northern District of Illinois. Both have moved past the phase where these cases read as novel curiosities. Both now handle the fact pattern as a recognized category, with a shared remedy toolkit and increasingly consistent penalty ranges. If you practice in either district, or if you are choosing where to remove a case, the pattern in these two dockets is now specific enough to price.

The S.D.N.Y. arc: from Mata to LiveVideo.AI

S.D.N.Y. is where the modern AI-hallucination sanction category began — Mata v. Avianca in 2023, a $5,000 combined order that made international headlines. Three years later, the district’s docket contains LiveVideo.AI Corp. v. Redstone (June 2026, $80,056 adverse costs plus bar referral), Chakma v. Sushi Katsuei, Inc. (May 2026, $2,712 monetary sanction), and 16 other documented AI-hallucination sanction cases. The arc: from Mata as a novelty to LiveVideo.AI as the district’s largest single order, in three years.

The N.D. Illinois pattern

N.D. Illinois hit 19 documented cases as well by mid-2026, without a headline case at LiveVideo.AI’s magnitude. Instead the district’s pattern reads as steady enforcement across many mid-size sanctions rather than one outlier. Standing orders in the district — some general-order level, some individual-chambers level — have contributed to catching these cases at the initial-filing review stage rather than at motion practice.

Third-place districts, close behind

Right behind the top two, D. Arizona has 17 documented cases, followed by W.D. Washington and generic “Federal Court” groupings at 16 each. E.D. Michigan and C.D. California sit at 15 each, N.D. California at 14. The concentration is heaviest in a small number of urban-heavy districts, but no single district owns more than about 2.2% of the total 856 published cases in Charlotin’s U.S. subset.

Penalty ranges: what to expect in these districts

Across S.D.N.Y. and N.D. Illinois combined, the direct-fine range clusters $500 to $10,000, with a small tail up through the $80,056 costs order in LiveVideo.AI. Adverse-costs orders sit at the top of the tail; bar referrals appear in roughly a third of the more serious matters; brief-striking appears in about half. CLE-completion orders on generative AI are increasingly common as an add-on. Firmwide citation-review requirements appear in a small but growing minority of cases.

Filing-in-district: three specific practice notes

First, check the individual judge’s standing order on AI use before you file. Both districts have a mix of judges with formal orders and judges without, and the “without” column does not mean no rule applies — Rule 11 still governs. Second, if you use any AI tool in the drafting process, plan the verification workflow before you start drafting, not after. Retrofitting citation verification onto an existing draft on deadline is where the missed citations survive. Third, in defended commercial cases in these districts, treat AI-generated content as adversary-scrutinized by default; the pattern shows opposing counsel now specifically checks for it.

What the top-two-district concentration tells you

If these dockets were random, the case count would spread flatter across the roughly 94 federal district courts. Instead, roughly 5% of documented U.S. cases sit in these two districts. The concentration reflects three factors: high commercial-litigation volume (more filings, more chances to catch a bad brief), active bench engagement (individual judges here have written standing orders that make catching the issue easier), and the visibility feedback loop (once a district becomes known for enforcement, opposing counsel starts explicitly checking for AI-generated fabrications in every brief).

Common questions

Is the concentration in S.D.N.Y. and N.D. Illinois driven by more filings or by more enforcement per filing?

Both. Both districts have very high filing volume compared with the national average, and both have unusually active bench engagement with the AI-citation issue category. The public data does not let us cleanly separate the two effects, but neither alone is sufficient to produce the observed concentration.

Should I forum-shop away from these districts if my case involves AI-assisted drafting?

No — the underlying Rule 11 and equivalent authority applies in every district. The observed concentration reflects catching, not underlying risk. Filing in a lower-concentration district does not lower your exposure; it lowers the probability that the exposure gets caught. Those are not the same thing, and one has malpractice implications and the other does not.

Verify a brief before you file it →

Further reading

Related 2026 case teardowns we have written up on the practical takeaways: Couvrette v. Wisnovsky (D. Oregon, March 2026, $110,204 combined — the largest documented AI-hallucination sanction on the U.S. docket to date), Joel A. Rivera v. Triad Properties Corporation (N.D. Alabama, March 2026, $35,603 with public reprimand and disqualification), Whiting v. City of Athens (6th Cir., March 2026, $30,000 combined including a circuit-level adverse-costs order), Ibach and Stewart v. Bruce Stewart (SC Alabama, April 2026, $17,200 with filing prohibition and bar referral), and Landberg v City of New York (CA NY 2d Dept, June 2026, $10,500 state-appellate order). Each order layers a monetary component with at least one non-monetary remedy — bar referral, disqualification, filing prohibition, mandatory CLE, or firmwide review. The layered-remedy pattern is now the modal 2026 fact pattern rather than the exception, and reading these orders together produces a materially different risk assessment than reading any single order in isolation.

If your firm is scoping its AI-drafting risk exposure for the 2026 malpractice renewal cycle or the year-end insurance conversation, the specific numbers to price against are the adverse-costs components in Couvrette ($94,700 fee-shift), LiveVideo.AI Corp. v. Redstone (S.D.N.Y., June 2026, $80,056), and In re Rosslyn2016 (S.D. Texas Bankruptcy, July 2026, $29,877 with civil contempt). These are the orders that anchor the top end of the 2026 exposure distribution and are the numbers underwriters are increasingly using as reference points in the current renewal cycle.

Deeper analysis

The tighter frame on S.D.N.Y. and N.D. Illinois is that they have historically set precedent that other federal district courts then adopt. Mata v. Avianca (S.D.N.Y., 2023, $5,000 combined) was the first widely-cited AI-hallucination sanction and shaped how every subsequent district court analyzed the Rule 11 standard for AI-generated filings. The 2026 orders in these same districts are similarly setting the ceiling on remedy severity: when LiveVideo.AI shifts $80,056 in fees at S.D.N.Y., that number becomes the operating assumption for defense-side risk calculations across every commercial docket in the country.

There is also a distinctive S.D.N.Y./N.D.Ill. procedural pattern worth naming: courts in both districts have shown willingness to enter show-cause orders sua sponte, without waiting for opposing counsel to raise the fabrication issue. That means the risk of a fabricated citation being caught does not depend on adversarial vigilance. A judge or a clerk can be the discovering party. Firms that assume ‘the other side won’t catch it’ are underestimating detection probability by more than a factor of two in these districts.

For firms with contested commercial matters filed in either district, the operational implication is that pre-filing verification is not optional and cannot be selectively applied to briefs the drafter thinks are ‘low risk.’ The clerk pulls citations on any filing that becomes a substantive opinion input. Selective verification produces the exact pattern the 2026 orders punished: a fabricated citation surviving to a filing because the drafting attorney did not think the brief mattered enough to check.