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
Coca-Cola's legal exposure after Fairlife ransomware attack
DOJ criminal referral against Jack Smith explained
DraftKings consumer protection lawsuits diverge by jurisdiction
AI work visa systems run ahead of EU AI Act safeguards
FBI Home Ownership Scam: New Legal Risks for Attorneys
Can the FCC Legally Repeal the National TV Ownership Cap?
Free AI for Legal Research: What the Accuracy Benchmarks Actually Reveal About Hallucination Risk
Free AI Tools for Solo and Small-Firm Lawyers: A Budget-Conscious Assessment with Cost-Per-Task Analysis
Harvey AI: Enterprise Legal Platform EvaluationHarvey AI
Who Faces Liability in the Hudson River Helicopter Crash?
I Visa Final Rule Triggers Automatic Unlawful Presence for Journalists
How the IRS Taxes Foreign World Cup Prize Money
USCIS Employment-Based Final Action Dates for June 2026
Kalshi's precious-metals perpetuals test the CFTC's futures classification
How Keytruda's Patent Cliff Tests Drug Pricing Law
No Settlement Reached in Kyle Bylin and Jeremy Morrison Switched-at-Birth Lawsuit
Legal AI Accuracy Benchmarks: A Guide to Interpreting the Numbers
AI in the Legal Industry 2026: Adoption Surges as Governance Lags
How Did Liz Murrill's Indictment Get Dismissed in 20 Days?
Lottery Funding for Pensions Raises Unsettled Constitutional Questions
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