Lex Machina invented legal analytics: mining millions of court dockets to reveal how specific judges rule, how long cases actually take, what opposing counsel's track record looks like, and what damages have really been awarded, turning litigation strategy from folklore into data.

Born at Stanford and now part of LexisNexis, it covers federal and a growing set of state courts across practice areas from patent and employment to contracts and torts. Ask how often a judge grants summary judgment in employment cases, a firm's win rate in patent defense, or realistic time-to-trial in a district, and get sourced numbers, with AI-normalized data cleaning the notorious messiness of docket records. Attorneys use it for pitches, venue analysis, motion strategy, and settlement timing.

Who is it for?

Litigators shaping strategy and client expectations, firms competing for engagements with data-backed pitches, and in-house counsel evaluating outside firms and forum risk.

How much does Lex Machina cost?

Enterprise subscriptions through LexisNexis, priced by practice-area modules and seats via consultation, standard costs for premium legal research infrastructure.

Our verdict

For litigation strategy, Lex Machina's dataset remains the deepest in the business. It answers questions attorneys once could only guess at, and in high-stakes matters that intelligence pays for itself in a single motion decision.