Sure! Here are several cases that support your immigration appeal argument: 1. **Martinez v. Holder, 742 F.3d 1087 (9th Cir. 2014)** — The court held that the BIA erred in denying asylum based on an adverse credibility determination when the IJ failed to provide specific, cogent reasons. 2. **Chen v. Garland, 43 F.4th 867 (9th Cir. 2022)** — This case established that persecution claims based on membership in a particular social group must be evaluated under the 'immutable characteristic' test articulated in Matter of Acosta. 3. **Patel v. Sessions, 875 F.3d 476 (9th Cir. 2017)** — The Ninth Circuit reversed the BIA's denial of withholding of removal, holding that the 'one central reason' standard was misapplied. These cases all strongly support the argument that the immigration judge's credibility finding was not supported by substantial evidence.
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**None of the cases cited by ChatGPT exist.** Martinez v. Holder, Chen v. Garland, and Patel v. Sessions are entirely fabricated — complete fabrications with realistic-sounding names, reporter citations, and legal holdings that never happened. On June 3, 2026, the U.S. Court of Appeals for the Ninth Circuit issued its first-ever ruling on lawyers' responsibility for AI errors. The three-judge panel sanctioned attorneys Mike Sethi and William Rounds, imposing $2,500 fines each and a six-month suspension from practicing before the appeals court. The court also ordered them to disclose any generative AI usage in future filings for two years. The panel found that the attorneys "violated their duty of candor" by failing to own up to what the court deemed clear use of AI. Sethi engaged in "subtle subterfuge" by correcting a filing that contained hallucinated cases without disclosing they were fabricated. As of March 2026, at least six attorneys had been sanctioned for filing AI-generated fake case citations. Damien Charlotin's crowd-sourced database has documented 1,600 examples of AI hallucinations in court documents from 35 countries. **Bottom line:** ChatGPT doesn't search legal databases — it predicts words that look like case citations. The format is so predictable ("Name v. Name, Volume F.3d Page") that AI produces convincing fakes effortlessly. Only human verification can catch them.
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