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
What corporate clients demand from law firms on AI in 2026
AA2653's Cancellation Exposes the Limits of US Air Travel Rights
AI Copyright and Fair Use Research: A Practical Guide to Available Tools and Trackers
Navigating the Fragmented Regulation of AI in Sports Betting
Vibe Coding Apps Face Apple's Hammer — What's the Legal Impact?
Inside the $1.82M immigration fine against an Arizona landscaper
Legal actions for consumers after Chick-fil-A's data breaches
Chick-fil-A's Second Breach May Open Stronger Consumer Claims
Legal Services Removed from Colorado's AI Regulation: What It Means for Law Firms
Conan Harris Death: Legal Frameworks for Massachusetts Landlords
Three Tests of Congress's Authority Over Israel Aid
David Hearn's not guilty plea and the limits of charging discretion
The dual-track investigation into the Empire Pizza Tucson shooting
A Full Breakdown of Erie's Fire Pit Municipal Code
Constitutional Questions the FBI's World Cup Drone Seizures Left Open
A Practitioner's Guide to Fire Pit Recall Product Liability
FSMA Compliance and Legal Liability for Cyclospora in Produce
How the Fugitive Capture Process Works Under U.S. Law
Andrew Giuliani's First Amendment defense of Falklands banner fails
How to Evaluate Legal AI Software in 2026
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