Litify
The legal operating system built on Salesforce for high-growth firms and corporate departments.

The premier open-access legal data platform for AI-driven litigation intelligence and court record retrieval.
CourtListener, a project of the non-profit Free Law Project, serves as a critical infrastructure layer in the 2026 legal AI ecosystem. It provides a massive, searchable database of over 8 million court opinions, oral arguments, and millions of PACER dockets through its RECAP initiative. Technically, the platform is powered by 'Juriscraper,' a sophisticated Python-based framework designed to crawl and normalize data from hundreds of American courts. This architecture allows for a standardized API that facilitates the ingestion of unstructured legal text into vector databases for Retrieval-Augmented Generation (RAG). By 2026, CourtListener has positioned itself as the primary open-source alternative to high-cost proprietary legal research tools like Westlaw or LexisNexis, offering an API-first approach that enables developers to build predictive litigation models, judge-specific sentiment analysis, and automated docket monitoring. Its integration with the RECAP browser extension ensures a continuously growing archive of PACER documents, effectively democratizing access to the American judicial system while providing the high-fidelity training data required for legal-specific Large Language Models (LLMs).
A collaborative database of PACER documents that allows users to avoid PACER fees by accessing records already retrieved by other users.
The legal operating system built on Salesforce for high-growth firms and corporate departments.
The Industry Gold Standard for Legal Table of Authorities and Document Styling Automation.
Automated legal intelligence and risk scoring for the modern enterprise.
Compiling Law into Code: The world's first open-source domain-specific language for computational law.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
An open-source Python library used to scrape and extract metadata from hundreds of court websites across various jurisdictions.
The largest searchable collection of federal oral argument audio files, often paired with automated transcripts.
Structured biographical data and financial disclosures for state and federal judges.
A graph-based representation of how cases cite each other, allowing for 'Precedent Tracking'.
Webhook-based system that notifies users within minutes of a new filing in monitored cases.
Vector-based search endpoints allowing queries via natural language instead of strictly boolean or keyword parameters.
Needs high-quality, normalized legal text for training a specialized Legal LLM.
Registry Updated:2/7/2026
Law firms need to know when a competitor files a new motion in a specific jurisdiction.
Predicting the outcome of a motion based on the assigned judge's previous rulings.