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
How SSA's AI systems impact disability payment delays
What Did the Supreme Court Decide on Anti-Trans Sports Laws?
Courts reject Trump’s election executive orders on constitutional grounds
Legal Implications of the Malcolm-Jamal Warner Prenup Lawsuit
What the Weston transmission project opposition means for zoning law
The legal playbook behind 2025's biggest celebrity divorces
9th Circuit's DEI Grant Ruling Creates a Two-Track System
AI fake endorsements test election law boundaries
A Six-Phase AI Hallucination Audit Checklist for Legal Professionals
Who Bears Liability When AI Hurricane Forecasts Are Wrong?
The Legal Consequences of an Airspace Violation and NORAD Intercept
Apple's China AI Partnership and the CAC Compliance Blueprint
August 2026 Family-Sponsored Green Card Dates Advance Sharply
Bisignano's SSA-IRS-Trump Accounts role raises legal compliance risks
Boeing’s Blame-Shift Over Alaska Airlines Blowout Backfires
What legal claims support California's offshore wind buyout lawsuits?
What Campaign Finance Law Gaps Does MAGA Inc. Exploit?
No Law Compels Federal Candidates to Disclose Health Information
Candidates Can Vote for Themselves Under Election Law
How Reliable Is ChatGPT for Legal Work in 2026?
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