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Matter of Matos

Court
SC New York
Jurisdiction
USA
Decided
2025-11-13
AI tool
Unidentified
Outcome
Respondent publicly censured
Monetary penalty
None reported

What was hallucinated

Misrepresented: Case Law | Respondent cited and purportedly quoted this TTAB decision in his trial brief; TTAB found the citation/quote did not support the asserted proposition (case law was misrepresented). || Misrepresented: Case Law | Respondent cited and purportedly quoted this TTAB decision in his trial brief; TTAB found the citation/quote did not contain the purported language or support the proposition (misquoted or nonexistent). || Misrepresented: Case Law | Respondent cited and purportedly quoted this TTAB decision in his trial brief; TTAB determined the citation/quote either did not exist in the case or did not support respondent's argument.

Sanction teardown · SC New York, USA · 2025-11-13

Matter of Matos

What happened

In SC New York, 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:

  • Misrepresented (Case Law)
    Respondent cited and purportedly quoted this TTAB decision in his trial brief; TTAB found the citation/quote did not support the asserted proposition (case law was misrepresented).
  • Misrepresented (Case Law)
    Respondent cited and purportedly quoted this TTAB decision in his trial brief; TTAB found the citation/quote did not contain the purported language or support the proposition (misquoted or nonexistent).
  • Misrepresented (Case Law)
    Respondent cited and purportedly quoted this TTAB decision in his trial brief; TTAB determined the citation/quote either did not exist in the case or did not support respondent's argument.

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

Respondent publicly censured

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/1035/In_re_Matter_of_Matos_USA_13_November_2025.pdf, via Damien Charlotin's public AI Hallucination Cases Database (CC0).

Source: https://www.damiencharlotin.com/documents/1035/In_re_Matter_of_Matos_USA_13_November_2025.pdf

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