Compiled by Citation Safe (Digital Empire Holdings LLC) from the court’s published sanction order (decided July 8, 2026). Quotes and case details come from the order itself — check the primary source before relying on them.

Sanction teardown · E.D. Texas, USA · 2026-07-08

John Hurt v. Ampcus, Inc.

What happened

In E.D. Texas, USA, a filing relied on an unnamed/unconfirmed AI tool to help draft legal argument. The court identified the following problems with the citations in that filing:

Fabricated (Exhibits & Submissions)

Editor’s note and court record reference multiple unverified citations in the filing, likely generated by AI; links unavailable but citations preserved in the record.
False Quotes (Case Law)

Plaintiff attributed language to Goode v. LexisNexis Risk & Information Analytics Group, Inc. and Moore v. Rite Aid that does not appear in those opinions; court and defendant noted the quotations do not exist.

Which AI tool

an unnamed/unconfirmed AI tool. Note: Charlotin's public database records tool attribution only where a court order, brief, or reporting on the matter states it explicitly; "unidentified" or "implied" means the record indicates AI use but does not name a specific product — we do not guess.

Outcome

Admonishment

How Citation Safe would have caught this

Citation Safe runs three deterministic layers before a brief is filed: (1) does the citation exist against CourtListener's database of published opinions, (2) if quoted, does that exact language appear in the source, (3) does the cited case actually support the proposition it is cited for. Fabricated case citations fail Layer 1. Fabricated or misattributed quotations fail Layer 2 even when the underlying case is real. Misrepresented holdings — a real case cited for a proposition it does not support — are the target of Layer 3. None of these checks involve asking another language model whether the citation looks right; they are lookups and text-matches against the actual source, which is why a hallucinated citation has to survive a direct lookup against the authoritative source — not another model's opinion — to earn a VERIFIED stamp; our measured false-verify rate is published live at /quality.

Check a brief before you file it → · See our live false-verify rate

Source: https://www.damiencharlotin.com/documents/2612/JOHN_HURT_v_AMPCUS_INC_USA_8_July_2026.pdf, via Damien Charlotin's public AI Hallucination Cases Database (CC0).