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HomeCasesJML Rose Pty Ltd v Jorgensen (No 3)
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Corpus matter record

JML Rose Pty Ltd v Jorgensen (No 3)

Federal Court of Australia · Aug 19, 2025

Direct answer

What happened in this matter?

The court dismissed the litigant's annulment application, finding that the use of generative AI led to the submission of fabricated authorities and false quotes. The judge held that the litigant failed to satisfy the statutory requirements for annulment and failed to prove solvency, noting that AI-generated errors burdened the court and other parties.

Why the court cared
The court reasoned that the litigant failed to meet the burden of proof for annulment under s 153B of the Bankruptcy Act 1966 (Cth). The judge determined that the setting aside of the underlying default judgment did not automatically invalidate the sequestration order, and the litigant failed to demonstrate solvency or provide sufficient evidence to justify the court's discretionary power to annul the bankruptcy.
Why it matters now
Federal Court of Australia now calls AI 'hallucinations' fabrications; expect hostile framing when we defend AI-assisted filings.

Why this matter is tracked

Fabricated: Case Law Outcome: N/A. ""101 The use of AI technology in the Courts has been the subject of judicial observations, particularly regarding legal practitioners who are subject to professional and ethical obligations and responsibilities. However, as Bell CJ observed in May v Costaras [2025] NSWCA 178 at [15], with whom Payne JA and McHugh JA agreed, in the context of considering the use of AI in the preparation of submissions, that “(a)ll litigants are under a duty not to misled the court or their opponent.” The reliance on unverified materials produced by generative AI does have the potential to misled the Court.102 Although the termed used in relation to erroneously generated references by AI is “hallucinations”, this is a term which seeks to legitimise the use of AI. More properly, such erroneously generated references are simply fabricated, fictional, false, fake and as such could be misleading.103 All persons appearing before the Court have a duty to verify that the case law and legislation referred to and relied on, is accurate and that such materials actually exist. The references in Ayinde at [85] and [86] and in Costaras at [14]-[15], to matters involving litigants who are acting in person who rely on AI generated material clearly supports the position that all are required to verify the submissions made to the Court. There are many publicly available legal research websites, some which are accessible without a fee. Further, and without attempting to be exhaustive, the Queensland Supreme Court library is open and available to the public.104 The use of generative AI to prepare submissions that may include fake authorities will nearly always introduce added costs, complexity and add to the burden of other parties and to the Court: Costaras at [16] and [49]. I gratefully adopt the observation from Ayinde at [9] that “(t)here are serious implications for the administration of justice and public confidence in the justice system if artificial intelligence is misused.” The Court in Ayinde observed from [10] to [31] the existing guidance, regulatory duties of the profession, referrals and the Court’s powers. Matters which are within the Court’s own domain include in the most serious of cases contempt of Court. The observations in Ayinde at [26]-[28] regarding contempt of court are not limited to legal practitioners.105 As the reasons above demonstrate, the circumstances of this case involved many fake authorities, fabricated quotes and false propositions. It is unhelpful for the Court to be referred to, and for parties to rely on, such matters."

Operational lesson

Federal Court of Australia now calls AI 'hallucinations' fabrications; expect hostile framing when we defend AI-assisted filings.

Record details

CourtFederal Court of Australia
Jurisdictioninternational
CircuitNot recorded
DateAug 19, 2025
UN
AI toolUnidentified
Party typePro Se Litigant
OutcomeThe application for annulment was dismissed.
Known amountNot recorded
Professional sanctionNo
Attribution boundary

What the record establishes about AI use

admitted

The court noted the litigant used generative AI, but did not name the specific tool.

Procedural posture

The matter was an application for annulment of a sequestration order filed by a pro se litigant following the setting aside of a default judgment in a lower court.

Correction behavior

Correction behavior is not separately verified in the current record.

Tracked discrepancy record

5 citation, quotation, or authority issues are recorded in the source dataset.

  1. Fabricated: Case Law
  2. Misrepresented: Case Law
  3. False Quotes: Case Law
  4. Outdated Advice: Repealed Law
  5. Fabricated: Legal Norm

Questions this record answers

What happened in JML Rose Pty Ltd v Jorgensen (No 3)?
The court dismissed the litigant's annulment application, finding that the use of generative AI led to the submission of fabricated authorities and false quotes. The judge held that the litigant failed to satisfy the statutory requirements for annulment and failed to prove solvency, noting that AI-generated errors burdened the court and other parties.
Why does JML Rose Pty Ltd v Jorgensen (No 3) matter for legal AI risk?
Federal Court of Australia now calls AI 'hallucinations' fabrications; expect hostile framing when we defend AI-assisted filings.
What does the public record establish about JML Rose Pty Ltd v Jorgensen (No 3)?
The record summarizes the outcome described in the linked public source. The recorded document is hosted in the upstream publisher archive. This page is not a substitute for the complete docket, subsequent history, or jurisdiction-specific advice.
Which source supports this JML Rose Pty Ltd v Jorgensen (No 3) summary?
The recorded source is Damien Charlotin case archive. It is classified as publisher document archive; review the linked material and subsequent docket history before relying on this summary.

Related matters

Related by court, jurisdiction, tool, or classified failure pattern. Similarity does not imply the same facts or outcome.