Sanction teardown · CA Maryland, USA · 2026-06-16
Olutosin Ajakaiye v. Omowunmi H. Oladipupo
What happened
In CA Maryland, 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:
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Fabricated (Case Law)Father's brief on page iv cites three cases 'that do not exist as cited.'
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Misrepresented (Case Law)Father cites North v. North for a proposition that is not found in that case.
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Misrepresented (Case Law)Father cites Taylor v. Taylor for a proposition that is not found in that case.
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False Quotes (Case Law)A quotation attributed to Boswell v. Boswell does not appear in that opinion.
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Misrepresented (Case Law)Proposition attributed to Montgomery County Dept. of Social Services v. Sanders is overstated and not supported by that case.
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False Quotes (Case Law)A quoted passage on page 27 is attributed to Taylor but does not appear in that case or any other opinion.
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Misrepresented (Case Law)Propositions attributed to Ross v. Hoffman and In re Yve S. are not found in those cases as cited.
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
Bar Referral
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/2524/Ajakaiye_v._Oladipupo_USA_16_June_2026.pdf, via Damien Charlotin's public AI Hallucination Cases Database (CC0).