Sanction teardown · N.D. Illinois, USA · 2026-01-16
Steven E. Hobbs, Sr. v. Igor Goncharko, et al. (2)
What happened
In N.D. Illinois, 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 twice cited a non-existent case Lathan v. Brinkerhoff; court identified it as fictitious and previously warned about it.
-
Fabricated (Case Law)Plaintiff mis-cited 'City of Chicago v. Matchmaker' (court treated it as an incorrect/fictitious citation in plaintiff's brief).
-
Fabricated (Case Law)Plaintiff cited 'Oconomowoc v. Greenfield,' a mis-citation distinct from the real Oconomowoc Residential Programs precedent referenced by the court.
-
Fabricated (Case Law)Plaintiff cited 'Vargas v. Cook Cnty. Sheriff' in his brief; court listed it among the mis-citations in the response.
-
Misrepresented (Case Law)Plaintiff invoked Bloch v. Frischholz for the proposition that statistical evidence is not required; court explained Bloch does not support that conclusion and was misrepresented.
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/1361/Hobbs_v._Goncharko_USA_16_January_2026.pdf, via Damien Charlotin's public AI Hallucination Cases Database (CC0).