Alexi

Updated 10/15/2025 · Founded 2017 · Legal research evaluated.

Alexi is a legal AI vendor founded in 2017 that is focused on streamlining workflows for legal teams and in-house counsel. In the getEvals legal research study, their research product, trained on case law, achieved strong performance across all evaluation criteria, matching the highest accuracy score among all participants.

Performance Summary

Alexi was evaluated on legal research capabilities across 200 U.S. legal research questions, with responses scored on three weighted criteria: accuracy (50%), authoritativeness (40%), and appropriateness (10%).

Aggregate Weighted Score

Overall performance across all criteria.

Alexi77%Lawyer baseline69%Avg of participants76%

Accuracy

Substantive correctness without incorrect elements.

Alexi80%Lawyer baseline71%Avg of participants80%

Authoritativeness

Sufficiency and strength of cited sources.

Alexi75%Lawyer baseline68%Avg of participants73%

Appropriateness

Form, format, and suitability for purpose.

Alexi70%Lawyer baseline60%Avg of participants68%

Key Strengths

Top-tier accuracy: 80%, matching the average of all participants.
Strong authoritativeness: 75%, outperforming the lawyer baseline by 7 points.
Case law expertise built on training specifically on judicial decisions and precedents.
Responses on 198 of 200 questions, with only 2 acknowledgements of missing documents.
Above-baseline performance across accuracy, authoritativeness, and appropriateness.

Based on the getEvals Legal AI Report — Legal Research, October 2025. Independent benchmarking of legal AI products on U.S. legal research questions contributed by Am Law 100 law firms.