Sanction teardown · Israel, Israel · 2025-05-18
Ehrlich v. Israel National Academy of Sciences et al.
What happened
In Israel, Israel, 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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Fabricated (Case Law)Applicant's filing included many purported 'judgments' that never existed; the Court identified these as AI-generated fabrications and treated the erroneous citations as grounds to deny relief and impose costs.
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
Request dismissed on the merits, monetary sanction (monetary penalty: 500 ILS.)
Additional detail
Applicant sought an administrative court order to force the Israel National Academy of Sciences to let him speak at a conference on "Artificial Intelligence and Research: Uses, Prospects, Dangers". This was dismissed, with the court adding:" I will add this: As mentioned above, the subject of the conference where the applicant wishes to speak concerns, among other things, the dangers of artificial intelligence. Indeed, one of these dangers materialized in the applicant's request: He, who is not represented, stated clearly and fairly that he used artificial intelligence for his request. An examination of the request shows that it consequently suffered from 'AI hallucinations' – it mentioned many "judgments" that never came into existence (Regarding this problem, see: HCJ 38379-12-24 Anonymous v. The Sharia Court of Appeals Jerusalem, paragraphs 13-12 (23.2.2025) (hereinafter: the Anonymous matter); HCJ 23602-01-25 The Association for the Advancement of Dog Rights v. The Minister of Agriculture, paragraphs 12-11 (28.2.2025) (hereinafter: the Association matter); and regarding the mentioned problem and the possibility of participating in the conference, see: Babylonian Talmud, Gittin 43a). Just recently, this Court warned, in no uncertain terms, that alongside the blessings of artificial intelligence, one must take excellent care against its pitfalls; 'Eat its inside, throw away its peel' (Anonymous matter, paragraph 26; Association matter, paragraph 19). The applicant did state, clearly, that he used artificial intelligence, and in light of this, he further requested that if a 'technical' error occurred under his hand – it should be seen as a good-faith mistake, not to be held against him. I cannot accept such a request. It does not cure the problems of hallucinating artificial intelligence. Those addressing this Court, whether represented or unrepresented alike, bear the burden of examining whether the precedents they refer to - which are not a 'technical' matter, but rather the beating heart of the pleadings - indeed exist, and substantiate their claims. For this reason too - the request must be dismissed"(Translation by Gemini 2.5).
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.
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Source: https://www.damiencharlotin.com/documents/440/Ehrlich_v._Israel_National_Academy_of_Sciences_et_al_Israel_May_18_2025.pdf, via Damien Charlotin's public AI Hallucination Cases Database (CC0).