Benchmarks

Citation-accuracy and reliability benchmarks for AI legal research and drafting tools, framed as risk assessment rather than product endorsement. Each entry discloses the benchmark source type (peer-reviewed academic study, vendor-published report, or independent test), the tool name and version tested, the test date, and a methodology summary, and visually separates independent findings from vendor-coordinated ones. Entries cross-link to any Risk Digest case naming the same tool. Does not contain case outcomes (Risk Digest) or how-to guidance (Workflows), though it links to both.

ToolVendorSourceHallucination rateVersion testedTest date
Missouri's child enticement law and the Clay County World Cup arrests
How a conviction in absentia works after a fugitive's capture
Comparing CoreWeave and Applied Digital for Legal AI Users
Who bears the legal liability in the Craneware data breach?
Legal implications of DOJ's political shift on federal funding
The Lawyer's Duty to Supervise AI Tools: Model Rules 5.1, 5.3, and State Guidance
Florida's 2024 Property Tax Amendment and the Threat to Law Libraries
How Food Recalls Trigger Business Liability Class Actions
What Guggenheim Partners' SEC Cases Reveal About Disclosure Law
The market-dilution theory in the Google Gemini copyright case
Harvey AI Pricing 2026: What Mid-Market Firms Actually Pay and How to Model Total Cost of Ownership
What Legal Consequences Follow ICE Shootings?
Impeachment After Death: The Judge John Steele Case
Kira Systems Contract Review AI: A Structured EvaluationKira Systems (Litera)
How Legal Analytics Map the Legionnaires' Wrongful Death Wave
Life Insurance Complaint Regulation Enters the AI Era
Why the Mark Lamb sex allegations fell short of criminal charges
Does Mike Lindell's Texas Registration Block His Minnesota Run?
Firearm Presence Escalates Road Rage to Felony Charges
What the Ryan Gold Suspension Reveals About NFL Gambling Enforcement
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