Sanction teardown · Federal Court, Australia · 2026-08-05
Abudahou v Metro Finance Pty Ltd
What happened
In Federal Court, Australia, 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 (Legal Norm)Applicant relied on a non-existent provision 's 41(7)(a)' of the Bankruptcy Act as the basis to set aside the bankruptcy notice; court held the provision does not exist.
-
Fabricated (Legal Norm)Applicant cited a non-existent court rule 'rule 2.02(4)' of the Bankruptcy Rules in submissions; court identified the reference as erroneous.
-
Fabricated (Case Law)Submissions relied upon numerous authorities which the court found could not be located or did not stand for the propositions asserted.
-
Misrepresented (Case Law)Applicant relied on real cases (e.g. Kuwait Airways; Penfolds) in support of promissory-note arguments, but the court found those authorities did not support the claimed legal principles.
-
Fabricated (Exhibits & Submissions)Applicant created and tendered a 'Privately Registered Bonded Promissory Note' (16 July 2024) as full settlement; court described promissory-note claims as 'organised pseudo-legal commercial arguments'.
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
Not specified in source record.
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/2983/Abudahou_v_Metro_Finance_Pty_Ltd_2026_FedCFamC2G_1512_5_August_2026.pdf, via Damien Charlotin's public AI Hallucination Cases Database (CC0).