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AI VORTEXLEGAL AI RISK INTELLIGENCE
CASE BRIEF / REVIEW PACKETAV-CB-1O75VNEGenerated September 10, 2026Evidence checked Sep 10, 2026
TRACKED PUBLIC MATTER

Barari v. Burgess

CA Arizona (1d) · Jun 26, 2026

Jurisdiction
state
Court
CA Arizona (1d)
Record ID
barari-v-burgess-2026-06-26
Observed outcome
The court affirmed the lower court's decree, denied the appellant's motion to amend her brief, and struck all inaccurate and false legal citations as a sanction.
Known monetary consequence
Not recorded
ADVISOR READOUT

Why this matter warrants attention

The Arizona Court of Appeals sanctioned a pro se appellant by striking inaccurate and false legal citations from her opening brief after determining she used generative AI to draft the document. The court found the appellant's explanations for the errors not credible, deemed her arguments waived for lack of supportive authority, and affirmed the underlying judgment.

Why the decision-maker cared

The court reasoned that the appellant's citation errors—specifically the inclusion of a hallucinated case and the combination of unrelated reporters and pin citations—were consistent with the abuse of generative AI. The court found the appellant's testimony denying AI use not credible and determined that the submission of false citations warranted sanctions under ARCAP 25 to discourage similar future conduct.

Why it matters now

This case illustrates judicial intolerance for AI-generated hallucinations in appellate filings. It highlights that courts will conduct show-cause hearings to investigate suspected AI misuse and will impose sanctions, such as striking portions of a brief, when litigants provide evasive or implausible explanations for citation errors.

RECORDED ISSUES

Failure modes and consequences

  • Pro Se
  • Fake Citations
  • Misrepresented Authority
  • Family
  • Appellate
  • Struck Filing
AI attribution
Implied
Recorded tool
Unidentified
Known monetary consequence
Not recorded
Procedural posture
Appeal from the Superior Court in Maricopa County; the Court of Appeals affirmed the lower court's decree and sanctioned the appellant by striking false citations from her opening brief.
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 court identified the use of generative AI but did not name a specific tool.

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 legal citations generated or assisted by AI tools.
  2. Ensure that all legal research is conducted using reliable, primary-source databases rather than relying solely on generative AI outputs.
  3. Review all filings for compliance with local appellate rules regarding record citations and authority support before submission.
  4. Maintain transparency with the court regarding the use of AI tools in legal drafting to avoid credibility issues during judicial inquiry.