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Compiled by Citation Safe (Digital Empire Holdings LLC) from the court’s published sanction order (decided October 5, 2026). Quotes and case details come from the order itself — check the primary source before relying on them.

Sanction teardown · S.D. New York, USA · 2026-10-05

Cooper v. John Doe County Court Clerk et al.

What happened

In S.D. 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:

  • Fabricated (Case Law)
    Plaintiff cited a nonexistent Supreme Court, Second Circuit, or relevant district court case; the hyperlink pointed to an unrelated Third Circuit case. The court identified it as a wholly fabricated citation and warned about Rule 11 verification obligations.
  • Misrepresented (Case Law)
    Plaintiff attributed a per se substantive-due-process rule to Foucha and Hurd, but the court held that neither authority supported the proposition. The court noted that Hurd applied the shocks-the-conscience standard and did not decide the issue asserted by plaintiff.
  • Outdated Advice (Overturned Case Law)
    Plaintiff relied on DeMuria for relaxed pleading requirements, but the court explained that its earlier pleading standard had been superseded by Twombly and Iqbal, citing Ruston.

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

Warning

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/3243/Cooper_v._Doe_County_Court_Clerk_USA_06-10-2026.pdf, via Damien Charlotin's public AI Hallucination Cases Database (CC0).