Sanction teardown · CA Fifth Circuit, USA · 2026-02-18
Fletcher v. Experian Information Solutions & Bridgecrest Credit Company
What happened
In CA Fifth Circuit, 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:
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False Quotes (Case Law)Reply brief attributed to In re Deepwater Horizon a quotation the court could not find; Court concluded the quoted language was not present in the opinion.
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False Quotes (Case Law)Reply brief attributed to Cooter & Gell a formulation about frivolousness that the court found was not supported by the cited passage.
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Misrepresented (Case Law)Brief cited Edwards v. General Motors Corp. for the proposition that sua sponte sanctions implicate de novo review; court found Edwards does not contain that proposition and the citation was a misrepresentation.
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Misrepresented (Case Law)Brief asserted Lewis v. Brown & Root reversed §1927 sanctions where record lacked vexatious intent; court noted Lewis in fact affirmed a §1927 sanction, so the brief misrepresented the case.
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
Monetary Sanction (monetary penalty: 2500 .)
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/1539/Fletcher_v._Experian_USA_18_February_2026.pdf, via Damien Charlotin's public AI Hallucination Cases Database (CC0).