A running list

AI detection lawsuits, tracked

The court cases we can cite over AI detector findings, with the detector, the score, and what happened. Why they happened matters more than who won.

Last reviewed October 15, 2026. Written by the EssayGuard team.

In short

As of our September 2026 check, one court has rejected an AI detector finding on its merits: Newby v. Adelphi University, where a Turnitin 100 percent flag was found without valid basis and expunged. Other cases, including Kato v. Palo Alto USD, Doe v. Michigan, Rignol v. Yale and Yang v. Minnesota, have turned on due process, and one expulsion was affirmed.

Why this list exists

Students, parents and faculty all ask what happens when a detector score ends up in front of a judge. The honest answer is that it has happened only a few times, the outcomes are narrow, and in nearly every case the dispute grew because a score was treated as the whole story. This list holds only cases with a court record or a docket we have checked, plus one petition included for context. Where our records do not carry a detail, the cell says so rather than guessing.

The cases

DateCaseDetector and scoreWhat happenedSource
January 28, 2026 (context)University at Buffalo student petitionNot a single case; campus AI detection generallyPetition reached 1,437 signatures. The same NBC News report described students using humanizers to avoid false flags, with 33.9 million visits to 43 humanizer sites in one month.NBC News, January 28, 2026
Early 2026Newby v. Adelphi University, New York Supreme Court, Nassau County, 2026 NY Slip Op 26021Turnitin, 100 percent; Grammarly and ZeroGPT read the paper as humanThe court found the university’s finding “without valid basis” and ordered the record expunged. The one decision so far that rejected a detector-based finding on its merits.Justia
February 2026Doe v. University of MichiganNot in our verified recordsDisability-related claim. Further detail is not in our verified records.GradPilot tracker
February 2026Yang v. University of MinnesotaNot in our verified recordsExpulsion affirmed. The student did not prevail.GradPilot tracker
May 5, 2026 (filed)Kato v. Palo Alto Unified School District, U.S. District Court, N.D. Cal.Turnitin, 76 percentThe family filed a 1,162-page packet including Google Docs revision history and seeks an order barring detector scores from being treated as dispositive evidence. The district answered in June 2026. Pending.N.D. Cal. docket
Pending (filing date not in our records)Rignol v. Yale UniversityGPTZero; score not in our recordsPending.GradPilot tracker

Source: Justia (Newby); N.D. Cal. docket (Kato); GradPilot tracker (Doe, Yang, Rignol); NBC News, January 28, 2026 (Buffalo petition); all checked 2026-09-08.

How to read this list

Read the outcomes column before the score column. Adelphi is the only case where a court examined the finding itself and rejected it, and even there the ruling was that the finding lacked a valid basis, not that the detector was wrong as a matter of fact. The other cases have been argued on process: whether the student got notice, saw the evidence, and had a hearing. Winners so far won on due process, not on disproving the detector. Yang is a reminder that when an institution’s process holds up, the student can lose. The practical lesson for students and instructors alike is the same: these disputes grow when a score stands in for evidence of how the work was done. A paper that comes with drafts, notes, version history and, where one exists, a keystroke-level writing record can usually be talked through in one meeting. The step-by-step page describes that conversation.

A record of the writing session gives that conversation something concrete to look at. It shows how text entered the editor and nothing about whose ideas they were. None of the cases above turned on such a record, because none of the students had one. When students write on the record from the start, the question is easy to answer for both sides, long before anyone thinks about a court.

The numbers behind the cases

The context for all of this is scale. Turnitin reported on February 24, 2026 that 15 percent of submissions between October 2025 and February 2026 were more than 80 percent AI, against 3 percent at the detector’s launch in 2023. A Guardian freedom of information request found about 7,000 UK academic misconduct cases involving AI in 2023 to 2024. Against that volume, a false positive rate that Turnitin itself states as under 1 percent at the document level still produces a steady stream of students with a wrong number next to their name. The false positive rates page does the arithmetic.

Source: Turnitin press materials, February 24, 2026; Guardian FOI, 2024; turnitin.com false positives page; checked 2026-09-08.

Add to this list

If you know of a filed case, a decision, or a correction to a row above, send the docket or the citation through the contact page. We add rows only with a source we can check, and we date every change.

Questions people ask

Has any court ruled that AI detectors are unreliable?

Not in those words. In Newby v. Adelphi the court found a finding built on a Turnitin 100 percent flag to be without valid basis, which is a ruling about that finding, not about detectors as a class. Kato v. Palo Alto USD asks a federal court to bar detector scores as dispositive evidence, and that request is pending.

Do students usually win these cases?

The record is small and mixed. The wins so far have come from the institution skipping a step in its own process. Yang v. University of Minnesota went the other way, with the expulsion affirmed in February 2026. Most accusations never reach court and are resolved inside the institution.

Is this list legal advice?

No. It is a reading list with dates and sources. If your work has been questioned, the place to start is a conversation with your instructor, with your drafts and notes in hand. Your school's student advocacy office can explain the academic integrity process if it gets that far.

If you write on the record

Ask your instructor about EssayGuard.

When a class writes in EssayGuard, there is a record of how every paper was written, and nobody has to argue with a percentage. Faculty can start for free.