×

What does it do?

  • Legal Analytics
  • Litigation Prediction
  • Class Action Litigation
  • Antitrust Litigation
  • Outcome Analytics

How is it used?

  • Web app for analyzing legal data to predict case outcomes.
  • 1. Access web platform
  • 2. Search legal data
  • 3. Analyze with filters
  • 4. Predict outcomes
See more

Who is it good for?

  • Legal Researchers
  • Government Agencies
  • Litigation Attorneys
  • Corporate Legal Departments
  • Law Firm Strategists

Details & Features

  • Made By

    LexisNexis
  • Released On

    1970-10-24

Lex Machina is a legal analytics platform that leverages advanced machine learning and in-house legal expertise to predict the behavior of courts, judges, lawyers, and parties involved in litigation. This tool provides comprehensive insights into legal trends and outcomes, offering a competitive edge for law firms, corporate legal departments, and government agencies in legal proceedings.

Key features:
- Enhanced State Court Coverage: Expanded coverage of 100 state courts, providing insights into 5.5 million state court cases across a wide range of jurisdictions.
- Class Action Litigation Reports: Detailed reports on various types of class action litigation, including general class action cases, civil rights, consumer protection, employment, and federal appellate cases.
- Antitrust Litigation Reports: Insights into antitrust litigation, including general antitrust cases, DOJ/FTC enforcement contested cases, MDL Master cases, and antitrust class action cases.
- Outcome Analytics: Exclusive outcome analytics compiled, cleaned, and enhanced by machine learning and legal experts, updated every 24 hours.
- Predictive Capabilities: Forecasting of the behavior of courts, judges, lawyers, and parties to aid in developing legal strategies and making informed decisions.

How it works:
1. Users access the web-based platform.
2. They search for and analyze legal data using various filters and criteria.
3. Users can look up a judge's ruling history, analyze law firm success rates in specific case types, or predict likely case outcomes based on historical data.

Use of AI:
Lex Machina uses generative artificial intelligence to enhance its data analytics capabilities. Machine learning models are employed to clean, compile, and analyze legal data, providing users with actionable insights.

Target users:
- Law firms seeking a competitive edge in litigation
- Corporate legal departments aiming to make informed legal decisions
- Government agencies involved in legal proceedings and policy-making

How to access:
Lex Machina is available as a web application, accessible from any device with internet connectivity.

Company information:
Lex Machina was founded in 2010 and is not open source, relying on proprietary data and analytics to provide its services.

  • Supported ecosystems
    Unknown
  • What does it do?
    Legal Analytics, Litigation Prediction, Class Action Litigation, Antitrust Litigation, Outcome Analytics
  • Who is it good for?
    Legal Researchers, Government Agencies, Litigation Attorneys, Corporate Legal Departments, Law Firm Strategists

Alternatives

Exotec provides robotics and software to automate and optimize warehouse operations for businesses.
ANYbotics develops autonomous legged robots for industrial inspections and safety monitoring.
Generate and explain formulas, scripts, and queries for Excel, Google Sheets, and Airtable
Catio helps businesses evaluate and optimize their tech stack with real-time monitoring and AI recommendations.
Extract structured web data at scale using AI-powered automation for businesses and professionals
Macroaxis optimizes investment portfolios using AI to maximize returns and minimize risks
Convert plain text into Excel formulas, SQL queries, and data insights for spreadsheet users
Transform raw data into actionable insights without technical skills using DataSquirrel.ai
Integrate ChatGPT into Google Sheets and Excel for AI-powered data analysis and content creation
Manifest AI enhances Shopify stores with personalized customer interactions to boost sales