Sanction teardown · S.D. New York, USA · 2025-11-21
Ege Kilinc v. PMMUE Eduservices Private Limited, 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:
-
False Quotes (Case Law)Court found the quoted sentence attributed to Best Van Lines, Inc. v. Walker (2d Cir. 2007) does not appear in that opinion.
-
False Quotes (Case Law)Court found the quoted language attributed to C.S. v. Columbia University, Case No. 1:24-cv-03232 (S.D.N.Y. 2024) (Torres, J.) does not appear in any decision on that docket by Judge Torres.
-
False Quotes (Case Law)Court found the quoted passage attributed to D.D. ex rel. V.D. v. New York City Board of Education (2d Cir. 2006) is not contained in that opinion.
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
Order to file a sworn statement -03 listing accurate and improper citations
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/1118/Kilinc_v_PMMUE_Eduservices_USA_21_November_2025.pdf, via Damien Charlotin's public AI Hallucination Cases Database (CC0).