An Australian court referred solicitors to a commissioner over AI submissions citing fake cases
In Pasuengos v Minister for Immigration and Citizenship (No 2), the Federal Circuit and Family Court of Australia found that a junior solicitor used a Google search combined with an AI summary to produce legal research containing three fabricated case citations, which were filed with the court without verification. The principal solicitor failed to independently check the authorities before they were submitted. Both solicitors were referred to the Legal Profession Conduct Commissioner (SA) and personally paid $3,125 in costs.
An AI summary confidently invented three legal authorities, and the human verification layer that should have caught them simply did not exist.
Key facts
- What
- In Pasuengos v Minister for Immigration and Citizenship (No 2), the Federal Circuit and Family Court of Australia found that a junior solicitor used a Google search combined with an AI summary to produce legal research containing three fabricated case citations, which were filed with the court without verification.
- Incident date
- Feb 3, 2026
- Who
- Anonymised law firm (names sealed by court order in Pasuengos v Minister)
- Failure mode
- Hallucination
- AI surface
- Search / RAG
- Severity
- Medium
What happened
A junior solicitor with a restricted practising certificate at an anonymised law firm used a Google search combined with an AI summary to research legal authorities for submissions in an immigration case before the Federal Circuit and Family Court of Australia. The AI output included citations for three cases that do not exist, which were filed with the court on 8 May 2025. The principal solicitor who supervised the junior solicitor failed to independently verify the cited authorities against authoritative legal databases. When the respondent's counsel could not locate the cases, the solicitors conceded the citations were fabricated and admitted the submissions had been generated using AI without proper verification.
What broke inside the model
- 01 · TriggerA user asks for a fact, a citation, or a figure.
- 02 · Model stepThe model writes a fluent, confident answer.
- 03 · Control gapNothing ties the claim back to a real source.
- 04 · FailureA fabricated fact ships as if it were verified.
- 05 · ConsequenceThe false claim reaches a customer, a court, or the public.
Confidence holds, and even spikes, as the claim detaches from any source.
The AI summary tool generated plausible-sounding but entirely fictitious case citations, a well-known hallucination failure mode of large language models when queried about legal authorities. The supervisory safeguard that should have caught these fabrications failed because the principal solicitor did not independently verify the cited cases against authoritative legal databases. The system broke at two points: the AI producing fabricated outputs and the human review layer being absent.
What it cost
Sources
- Court FilingPasuengos v Minister for Immigration and Citizenship (No 2) [2026] FedCFamC2G 96 (3 February 2026)austlii.edu.au
- PrimaryAI Hallucination Cases Database - Australia entriesdamiencharlotin.com
- PressAI Hallucination Cases: Australia - OBITERkirstenegroth.blog
Cite this entry
https://failureindex.ai/failures/australian-court-referred-solicitorsAI Failure Index. "An Australian court referred solicitors to a commissioner over AI submissions citing fake cases" (FI-0136). Realm Labs. https://failureindex.ai/failures/australian-court-referred-solicitors (indexed Jun 4, 2026).Data fields CC-BY 4.0, prose citation permitted. Incident ID FI-0136. Full dataset at /data.
Note from Realm Labs, the Index steward
How Realm would have caught this
- Prism
- OmniGuard
- AI Detection & Response (AIDR)
A runtime layer that watches the model's internal state can flag the moment a model commits to a claim it has no support for, and hold or reroute the response before it reaches a user. Realm reads those signals in real time rather than grading the transcript after the fact.