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 Legal Mechanics of the Maine Senate Race 2026 Nominee Swap
How Netflix's AI Production Rules Shift Legal Risk to Partners
Who is liable when an AI model hacks a third party?
How Nicaragua's 2025 constitutional reform allowed Ortega to cancel elections
Popov sentenced to 20 years for Beyoncé fan hate crime
How the 2026 Public Charge Rule Changes Green Card Eligibility
Recalled Allergy Medication: Consumer Standing in 2026
Rich Paul's Legal Battles Reveal Sports Agent Accountability Gaps
Saudi-UAE Rift Strains Cross-Border Judgment Enforcement
SDNY AI Disclosure Rules: A Judge-by-Judge Compliance Reference for Attorneys
Analyzing the Legal Impact of the Student Loan Forgiveness Bill
Tom Homan and the DOJ's Sanctuary Case Against NYC
What Trump's Defense Investment Order Means for Contractors
How Trump's US attorney firings created a constitutional standoff
Active litigation and FOIA battles over TWA Flight 800 records
How Does the VA's AI Fraud Detection Affect Veterans Disability Benefits?
How the Val Kilmer AI Movie Tests California's Digital Replica Law
What Vivienne Jolie's Filing Reveals About Name Change at 18
AI Contract Review Security and Data Governance: A Due Diligence Guide for GCs and Compliance Officers
The AI Ethics Stack Every Lawyer Needs in 2026
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