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
Federal Criminal Penalties for Social Security Email Scams
What Legal Consequences Follow the Federal Plaza Fireworks Arrest
Legal Options for Ford's Explorer Roof Rail Cover Recall
Legal Guide to IRS Tax on Foreign World Cup Winnings
Legal Consequences for Illegal Walking on Grand Prismatic Spring
Why the Houthi Red Sea Blockade Fails International Law
Why Iran's Enriched Uranium Disposal Faces Legal Gridlock
Why the Karim Khan Investigation Produced Three Conflicting Findings
Legal Artificial Intelligence Software Adoption in 2026
Litigation Holds for AI-Generated Documents: Five Changes to Your Standard Workflow
Understanding refund rights in the Madewell sweater recall
What the Manson House Sales Reveal About California Disclosure Law
What the Maya Millete Case Reveals About Multi-Source Digital Warrant Strategy
The untested legal theory behind Trump's Medicaid payment pauses
Does Mike Lindell's Texas Voter Registration Disqualify Him?
A Legal Chronology of the Military Covid Vaccine Mandate Litigation
The FY2027 NDAA Transforms AI into a Statutory Compliance Regime
How AI Regulation Creates a New Risk Category for Nvidia Stock
Spoliation Claim Could Dismiss Former Olympian's Pool Damage Case
Pentagon AI Assessments Create a Civilian Casualty Legal Gap
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