VLAIR validation confirms Alexi’s enterprise-ready performance in accuracy, citation authority, speed, and reliability.
Alexi, a legal intelligence platform trusted by leading law firms, today announced that it has been independently validated in one of the most rigorous legal AI benchmarks to date, the 2025 Vals Legal AI Report (VLAIR). The evaluation confirmed Alexi’s advantages in accuracy, authoritative citations, speed, and reliability, establishing it as an enterprise-ready solution for legal research and workflow automation.
Since May, there has been a 250% increase in cases of AI hallucinations in legal decisions, making legal research one of the most scrutinized use cases for generative AI. The Vals Legal AI Report was created to provide the industry’s first independent, data-driven benchmark for evaluating legal AI tools — cutting through marketing claims to measure real-world performance, reliability, and compliance.
The 2025 Vals Legal AI Report found that Alexi:
- Tied for the highest score (79%) on single-jurisdiction questions, showing best-in-class reasoning for core legal issues.
- Scored 80% accuracy, compared to a lawyer baseline of 71%—a 9-point or 13% relative advantage.
- Is 8% more likely than ChatGPT to cite valid primary law, tangibly reducing compliance and malpractice risk.
- Is second only to ChatGPT for response speed while maintaining a 99% response rate, vs a 4x higher non-response rate for ChatGPT.
“These results confirm what our customers experience every day: Alexi delivers the superior legal accuracy and compliance leading law firms need from AI, without compromising on speed or reliability,” said Mark Doble, CEO of Alexi. “As we look ahead, this validation cements our role in defining how the next generation of lawyers will work with precision, speed, and trust at scale.”
The Advantages of Using Alexi for Legal Teams
- Fewer corrections, fewer write-offs: With a 13% accuracy lift and industry-leading results for single-jurisdiction legal issues, Alexi reduces the time lawyers spend revising AI outputs, cutting costs and freeing up time for higher-value tasks.
- Reduced risk and stronger compliance: By citing valid primary law 8% more often than generic AI, Alexi helps firms safeguard against errors, protecting both clients and the firm’s reputation.
- Faster adoption by lawyers: High response speed and 99% reliability mean Alexi fits seamlessly into everyday workflows, removing friction and driving team-wide usage.
- Workflow automation that scales: Consistent, verifiable accuracy makes Alexi ideal for automating multi-step legal tasks, ensuring that legal principles and citations carry through each stage without introducing risk.
With independent validation now confirming its industry-leading accuracy and reliability, Alexi continues to set the benchmark for how legal professionals can safely and efficiently integrate AI into their workflows.
Methodology
The legal research study evaluated participants’ ability to answer questions requiring reference to U.S. federal and state laws, regulations, and judgments. Developed with Consortium Firms and legal experts to reflect real-world practice, it produced 200 question-and-answer pairs spanning the full range of legal research tasks—from confirming legal definitions and interpreting fact patterns to sourcing court rules, summarizing case holdings, and conducting multi-jurisdictional analyses—representing one of the most comprehensive datasets ever assembled to assess generative AI’s legal research capabilities.
About Alexi
Alexi is a legal intelligence platform built for law firms and legal departments operating at scale. It helps teams streamline high-effort legal work with speed, accuracy, and control. Deployed in secure private cloud environments, Alexi integrates across departments to surface insight, automate workflows, and standardize how legal work gets done. Founded in 2017, Alexi is trusted by leading firms to deliver outcomes that set the standard for the industry. Learn more at alexi.com or follow Alexi on LinkedIn.
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Category Communications
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