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Corpus matter record

Barari v. Burgess

CA Arizona (1d) · Jun 26, 2026

Direct answer

What happened in this matter?

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 court 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.

Why this matter is tracked

In an appeal from a dissolution of marriage decree, the Arizona Court of Appeals addressed the appellant's submission of an opening brief containing numerous inaccurate, misleading, and fabricated legal citations. The court identified 24 deficient citations out of 52, including a completely hallucinated case. Despite the appellant's initial denial, the court found her testimony regarding her research process not credible and concluded she used generative AI to draft the brief. Citing ARCAP 25, the court denied the appellant's motion to amend the brief, struck the inaccurate citations, and deemed her arguments waived due to a failure to comply with appellate briefing requirements. The court affirmed the lower court's decision, noting that it would not act as an advocate to develop the appellant's unsupported arguments.

Operational lesson

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.

Record details

ArizonaSingle-state evidence scope
Explore AZOpen its source-linked jurisdiction page and related matters.
CourtCA Arizona (1d)
Jurisdictionstate
Circuit9th Circuit
DateJun 26, 2026
UN
AI toolUnidentified
Party typePro Se Litigant
OutcomeThe 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 amountNot recorded
Professional sanctionNo
Attribution boundary

What the record establishes about AI use

implied

The court identified the use of generative AI but did not name a specific tool.

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.

Correction behavior

Correction behavior is not separately verified in the current record.

Tracked discrepancy record

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

  1. Fabricated: Case Law | Appellant cited a case that does not exist — a 'hallucinated' case — which the court identified as a fabricated citation.
  2. Misrepresented: Case Law | Numerous inaccurate citations (about 24 of 52) that misstate case facts, holdings, and rules and attribute principles to cases that do not support them.

Questions this record answers

What happened in Barari v. Burgess?
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 does Barari v. Burgess matter for legal AI risk?
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.
What does the public record establish about Barari v. Burgess?
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 Barari v. Burgess 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.