Was Johnson v. Dunn sanctioned over AI-generated citations?

Johnson v. Dunn (N.D. Alabama, July 23, 2025) is a documented matter involving citations that could not be verified against the reporters named. The recorded outcome was: Public reprimand; disqualification; referral to Alabama State Bar and other licensing authorities (fine deemed insufficient and declined). No monetary penalty in this order.

Which AI tool was involved in Johnson v. Dunn?

The matter records ChatGPT as the generative tool associated with the unverified citations in Johnson v. Dunn.

July 23, 2025 · AI sanctions database

Johnson v. Dunn

Johnson v. Dunn is one matter in the Veritas record of US court proceedings involving AI-generated citations that could not be verified against the reporters named. The summary below is drawn from the underlying court document, linked at the foot of this page.

Court: N.D. Alabama
Date: July 23, 2025
Party: Lawyer
AI tool: ChatGPT
Outcome: Public reprimand; disqualification; referral to Alabama State Bar and other licensing authorities (fine deemed insufficient and declined)
Penalty: No monetary penalty in this order.

Professional sanctionDisqualificationBar referral

What the record shows

Three defense attorneys confirmed that citations in two motions were hallucinations generated by ChatGPT, including cases the court found do not exist. Concluding that a fine and reprimand alone were insufficient, the court publicly reprimanded attorneys Reeves, Cranford, and Lunsford with a limited publication requirement, disqualified them from further participation in the case, and directed the Clerk to serve the order on the General Counsel of the Alabama State Bar and other applicable licensing authorities; it declined to impose a monetary fine and released two other attorneys and Butler Snow LLP without sanction.

This entry reflects the court document as filed. The citations at issue could not be located in the reporters named at the time of the order. The reading here is descriptive of the public record and is not legal advice.

Source documents

Primary court document ↗

The test this filing did not run

Every matter in this record shares one mechanism: a citation that did not resolve to an opinion in the reporter named, in a brief that was filed before any verification step ran. Veritas runs that step. The Filing Risk Scanner extracts each citation, resolves it against reporter and public-record sources, and returns a verdict on each one — located, partial, or not located in reporter — before the brief is signed.

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Filed under · AI sanctions database · N.D. Alabama

About this publication

Veritas is a pre-filing citation verification platform for law firms and in-house counsel. Every post on the audit log is written by the Veritas editorial team and cross-checked against the underlying sanctions order, standing order, or published opinion it references. Reporter citations are read in their named volumes. Quotations from court orders are checked against the docket.

The product was built by Andrew Zoll, founder of Veritas, who tracks generative AI sanctions in federal and state courts and turns each documented failure mode into verification logic the scanner runs. Veritas was built after the canonical Mata v. Avianca sanctions order made the verification gap a published failure mode of the bar.

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