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AI VORTEXLEGAL AI RISK INTELLIGENCE
CASE BRIEF / REVIEW PACKETAV-CB-1EMVIZLGenerated September 11, 2026Evidence checked Sep 10, 2026
TRACKED PUBLIC MATTER

Kaur v RMIT

SC Victoria (CA) · Nov 11, 2024

Jurisdiction
international
Court
SC Victoria (CA)
Record ID
kaur-v-rmit-2024-11-11
Observed outcome
The application for leave to appeal was refused as totally without merit.
Known monetary consequence
Not recorded
ADVISOR READOUT

Why this matter warrants attention

The Court of Appeal identified that the applicant's written submissions contained fabricated case citations, likely generated by an LLM. The judge explicitly omitted these non-existent citations from the court's reasons to prevent the further dissemination of hallucinated legal authority.

Why the decision-maker cared

The judge determined that the application for leave to appeal was totally without merit because it sought to re-litigate factual findings rather than raising questions of law. Regarding the AI-generated content, the judge reasoned that omitting the fabricated citations from the judgment was necessary to avoid contributing to the problem of LLMs inventing case law.

Why it matters now

Appellate courts now silently strip fake citations from reasons — the record memorializes the failure anyway.

RECORDED ISSUES

Failure modes and consequences

  • Hallucinated_case_law
  • Pro Se
  • Fake Citations
  • Contract
  • Trial
  • None Adjudicated
AI attribution
Explicitly Recorded
Recorded tool
LLM AI (e.g., ChatGPT)
Known monetary consequence
Not recorded
Procedural posture
Application for leave to appeal to the Supreme Court of Victoria (Court of Appeal) from a decision of the trial division, which had dismissed an appeal from the Victorian Civil and Administrative Tribunal (VCAT).
PRIMARY SOURCE

Damien Charlotin case archive

Publisher document archive. The recorded document is hosted in the upstream publisher archive.

Open underlying source

A recorded source link is not a substitute for checking the underlying order, filing, opinion, or disciplinary record.

EVIDENCE BOUNDARY

What this record does—and does not—establish

The judge noted the documents appeared to be drafted with an LLM such as ChatGPT.

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.

Latest evidence review: Primary Document Verified (high confidence).

PRACTICAL REVIEW IMPLICATIONS

Controls suggested by the public record

  1. Implement mandatory verification protocols for all case citations in filings, regardless of the drafting tool used.
  2. Review all AI-generated legal research outputs against primary source databases to ensure the existence and accuracy of cited authorities.
  3. Monitor court records for judicial commentary regarding the use of generative AI in submissions.