Lex Machina is a legal analytics platform that applies data science to litigation, converting raw court documents into structured datasets covering judge behavior, case outcomes, damages, and party histories. It serves litigators, law firms of all sizes, corporate legal departments, insurers, courts, and government bodies seeking data-driven case strategy and business development insights.
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Lex Machina
Headquarters
United States
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Lex Machina uses proprietary technology and AI-assisted attorney review to process court records, filling gaps in docket data and surfacing insights unavailable elsewhere. Its generative analytics layer, powered by LexisNexis Protégé, lets users enter natural-language prompts to query complex litigation datasets. The platform's core Legal Analytics module covers over ten million cases across all 94 federal district courts, 13 courts of appeal, PTAB, specialty venues, and enhanced state courts, with data on 8,000-plus judges, 6,000-plus expert witnesses, and over 146 million counsel mentions. Party analytics for business intelligence adds 18 million state cases. Legal Entity Analytics enriches case data by reading signature blocks, grouping related entities, and mapping timelines and relationships among law firms, attorneys, parties, and judges. Additional modules include State Court Motion Metrics (40-plus motion types by judge and court), Appeals Analytics (federal appellate civil cases since 2012, including reversal rates and Supreme Court outcomes), Class Action Analytics (settlement damages, attorney fees, budget forecasting), and Timing Events showing how long courts take to reach key milestones. An API allows users to integrate Lex Machina litigation data into their own solutions. The platform is trusted by over 90% of the largest U.S. firms, based on 2025 Law360 and AmLaw100 rankings. Users span large and small law firms, corporate legal departments, insurers, courts, government agencies, and law schools.
What it does
Natural-language prompts surface complex litigation data for actionable intelligence.
Insights into past behavior of judges, counsel, parties, experts, and courts.
AI reads signature blocks and groups related entities across timelines.
Motion practice and timing analytics for 40-plus motion types by judge.
Shows how long courts take to reach key case milestones.
Practice-specific legal findings linked to judgment events.
Federal appellate civil case data since 2012, including reversal rates.
Settlement damages, attorney fees, and timeline forecasting for litigation budgets.
Access litigation data via API to build custom solutions.
Who it is for
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Trust & compliance
Security certifications
Named enterprise customers
Pricing details
Starting price
Pricing model
Free version
Pricing is not publicly listed. Contact LexisNexis to request a demo.
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Product interface
Lex Machina Interface
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FAQs
Lex Machina does not publish pricing publicly. Interested buyers must request a demo through LexisNexis to discuss pricing options with a sales representative.
It is built for legal professionals seeking data-driven decisions, including litigators at large and small law firms, corporate legal departments, insurers, courts, judges, state and federal government agencies, and law schools.
It covers all 94 federal district courts, 13 federal courts of appeal, PTAB, specialty venues, and enhanced state courts, with an additional 18 million state cases for party analytics. Data covers over ten million cases in total.
Yes. An API integration is available, allowing users to access Lex Machina litigation data to build their own custom solutions.
LexisNexis applies privacy-by-design principles, uses advanced encryption, and undergoes regular third-party audits. It follows the RELX Responsible AI Framework, never uses customer data to train AI models, and removes identifiable information from AI interactions.
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