Lex Machina
Litigation analytics on judges, counsel, and case outcomes
About
Lex Machina turns raw court dockets into structured litigation analytics, tracking judges, law firms, attorneys, parties, and outcomes across millions of U.S. cases. Lawyers use it to predict how long a case will take, how a judge tends to rule on specific motions, and how opposing counsel performs — a Stanford spin-out now inside LexisNexis with the Protégé AI assistant for natural-language analytics queries. It is the reference standard for U.S. federal litigation analytics, though its depth in state courts is still expanding and pricing is enterprise quote-based.
What it can do
- Judge analytics
- Motion grant-denial metrics
- Case timing and damages analytics
- Counsel and party profiling
- Protégé AI assistant
- Litigation Analytics API
Setup
- Contact LexisNexis for a Lex Machina subscription and demo.
- Select practice-area modules relevant to your practice.
- Query judge, counsel, party, or damages analytics from the dashboard or API.
- Use Protégé for natural-language analytics questions.
Prerequisites
Litigation practice with U.S. matters; enterprise subscription via LexisNexis.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Reference standard for U.S. litigation analytics; Protégé AI assistant added for natural-language analytics; Public Litigation Analytics API with A2A agent; State-court coverage still expanding; enterprise pricing.
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 9.0/10
- Maintenance · recency, releases, issue load
- 7.0/10
- Openness · license + docs
- 7.0/10
- Manual review · sanity read + red-flag check
- 6.0/10
- · Reference standard for U.S. litigation analytics
- · Protégé AI assistant added for natural-language analytics
- · Public Litigation Analytics API with A2A agent
- · State-court coverage still expanding; enterprise pricing
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.