VLAIR Validates Alexi as an Enterprise-Ready Legal AI Platform
Alexi has been independently validated by the 2025 Vals Legal AI Report (VLAIR), confirming strengths in accuracy, authoritative citations, speed, and reliability. For firms under pressure to reduce risk and increase throughput, this puts Alexi in the short list of AI systems ready for enterprise legal work.
Why this matters now
Since May, reported AI hallucinations in legal decisions have increased by 250%. Legal research has become a high-stakes test for any generative system. VLAIR was built to cut through claims and measure performance against real legal tasks, with a focus on reliability and compliance.
VLAIR results at a glance
- Tied for the highest score (79%) on single-jurisdiction questions, indicating best-in-class reasoning on core issues.
- Delivered 80% accuracy vs a lawyer baseline of 71%-a 9-point (13% relative) advantage.
- 8% more likely than ChatGPT to cite valid primary law, reducing compliance and malpractice exposure.
- Second only to ChatGPT on 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.
Practical advantages for legal teams
- Fewer corrections, fewer write-offs: The accuracy lift reduces rework and lets lawyers focus on higher-value analysis.
- Lower risk, stronger compliance: More valid primary-law citations mean better defenses against errors and reputational harm.
- Faster adoption: High speed and a 99% response rate fit day-to-day workflows without adding friction.
- Workflow automation that scales: Consistent, verifiable outputs keep legal principles and citations intact across multi-step tasks.
Methodology in brief
The study assessed the ability to answer questions requiring U.S. federal and state laws, regulations, and judgments. Developed with Consortium Firms and legal experts, it included 200 Q&A pairs spanning common research tasks: confirming definitions, interpreting fact patterns, sourcing court rules, summarizing holdings, and multi-jurisdictional analysis. It is one of the most comprehensive datasets assembled for evaluating AI in legal research.
How to apply this in your practice
- Adopt tools validated by independent, legally grounded benchmarks-not only vendor demos.
- Require authoritative citations and auditability in every output, aligned to your jurisdictional needs.
- Pilot on high-volume, well-bounded research tasks, then extend to structured, multi-step workflows.
- Set response SLAs and fallback protocols so matters keep moving even under heavy load.
- Align usage with your professional duties; see tech competence guidance under ABA Model Rule 1.1 Comment 8.
Learn more about Alexi at alexi.com. For ethics and competence considerations, review the ABA Model Rule 1.1, Comment 8.
Recent product updates from Alexi
- iManage integration to streamline document-centered workflows.
- A Workflow Library with 100+ customizable AI workflows for high-volume and high-value tasks.
- Private Cloud deployment for firms that require isolated infrastructure with strict controls.
Media contact
Category Communications - samantha@categorycomms.com - 647-238-5256
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