Which AI tool was involved in Shaker Hts. v. Thompson?

The order in Shaker Hts. v. Thompson does not identify a specific generative tool by name. The court treated the citations as the product of an unverified AI-assisted drafting workflow.

May 21, 2026 · AI sanctions database

Shaker Hts. v. Thompson

Shaker Hts. v. Thompson 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: Ohio CA (8th)
Date: May 21, 2026
Party: Pro Se Litigant
AI tool: Not identified in the order
Outcome: Citations disregarded (no penalty imposed)
Penalty: No monetary penalty in this order.

Warning

What the record shows

In a criminal appeal, the court found the pro se appellant's cited cases either did not support the propositions for which they were cited or were, in the court's words, apparent fabrications, very possibly hallucinated cases generated by artificial intelligence services. The court declined to consider the propositions supported by those citations and affirmed the judgment; no sanction was imposed.

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 ↗ · CourtListener record ↗

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 · Ohio CA (8th)

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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