AI lets anyone file papers that read like a lawyer's, and each one still has to be answered. Counting every filer, 923 findings in 2026 so far, against 519 in all of 2025.
Last refreshed October 29, 2026; findings counted through October 23, 2026.
Add one or more states to see how often courts there flagged a lawyer's filing for fake cases or quotes made up by AI this year, and what it cost. The link to your view is shareable.
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Each entry is a court decision, as recorded by the database, that addressed cases that do not exist or quotes a source does not contain in a filing. Outcomes vary, from a warning to money or a bar referral, and some entries have no recorded outcome. When the filing came from your outside counsel, your company paid for that brief, and whatever the court does next happens in your case. The self-represented count matters to claims leaders too: AI lets anyone produce a filing that reads like a lawyer wrote it, and every one of them still has to be answered.
Recent months may gain entries as the database is updated; their current counts do not show whether the pace rose or fell.
Each finding is counted once, under its most serious outcome. Outcome and court level are grouped by Litigation Sentinel from the database entry; see the methodology.
US dollar amounts as recorded by the database. Single-case amounts are not shown here until Litigation Sentinel has checked them against the order.
As recorded by the AI Hallucination Cases Database: court caption, court, date, and outcome, with the source link the database records. Findings involving self-represented litigants, and lawyer findings whose caption names a private person, are counted above and not listed.
Data: AI Hallucination Cases Database by Damien Charlotin, CC BY 4.0
Litigation Sentinel kept United States courts only, left out entries the database marks as alleged or disputed by a vendor, grouped courts by state and level, grouped outcomes into categories, and computed the counts shown. Litigation Sentinel is not affiliated with or endorsed by the author.
What counts, what is left out, and how to cite it: read the methodology →