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
The AI Pricing Paradox: Why Law Firm Efficiency Gains Aren't Translating to Revenue — and What to Do About It
AI Tools for California Uninsured Motorist Lawyers
Boeing 737-800 Return-to-Gate Liability: Lessons from AA1006
Chowchilla bus kidnapping appeal redefined California bodily harm
The legal lifecycle of the Cindy Burbank ballot removal lawsuit
Super Speeder Law: Clay County Speeding Arrest Consequences
How Three Regulatory Forces Shaped Climate Law in 2025
Court Rules Requiring AI Certification: A Jurisdiction-by-Jurisdiction Guide
What 40 Terabytes of Digital Evidence Reveals About the D4vd Case
Five lawsuits challenge DHS election security funding conditions
Garlic powder recall: consumer rights vs Dollarama's no-return policy
Legal Risks of FDA False Positive Food Recalls
What legal authority supported FBI's World Cup drone seizures?
How Flock Safety’s AI Audio Detection Creates Legal Risks
Four reasons the FY2027 NDAA negotiations are stalled
Consumer Legal Rights After a Garlic Powder Recall
General-Purpose vs. Legal-Native AI: What Every Lawyer Needs to Know About the Risks
Why State Regulation Is GEV's Biggest AI Infrastructure Risk
Hawaii Rejected Bruen with the Aloha Spirit — Then SCOTUS Reversed
Hawaii Supreme Court Ruling on Police Interrogation Recording
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