Lex Machina
Quantify outcomes and outmaneuver opposing counsel with the industry's most accurate Legal Analytics®.

The definitive multimedia archive for the Supreme Court of the United States legal data.
Oyez is a premier legal intelligence archive and multimedia database focused on the Supreme Court of the United States. As of 2026, it remains an indispensable asset for the development of Legal-specific Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. The platform provides a technically rich repository of oral argument transcripts, justice voting records, and comprehensive case summaries. Its architecture is notable for its 'Deep Link' synchronization, which maps textual transcripts to specific timestamps in audio recordings of court proceedings. This granular data structure makes Oyez a primary source for training judicial speaker diarization and legal sentiment analysis tools. Operated through a partnership between Cornell’s Legal Information Institute, Justia, and Chicago-Kent College of Law, the platform maintains a high standard of data integrity and provenance. In the 2026 market, it serves as the ground-truth benchmark for AI-driven constitutional research, providing the raw material for predictive judicial modeling and automated legal brief generation. While not an AI application in itself, its structured API and historical depth make it an essential node in the global legal AI infrastructure.
Precise mapping of oral argument transcripts to audio timestamps allowing for sub-second jumping within recordings.
Quantify outcomes and outmaneuver opposing counsel with the industry's most accurate Legal Analytics®.
AI-driven market intelligence for legal professionals to identify business development opportunities and risk.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Structured data on majority and dissenting opinions for every justice since the court's inception.
Geospatial data regarding the origin of cases prior to reaching the Supreme Court.
RESTful endpoints that provide case metadata in structured JSON format.
Digital preservation of audio files dating back to the installation of the court's recording system in 1955.
Detailed career metadata and appointment history for every SCOTUS justice.
Plain-English distillations of complex legal questions and court decisions.
AI assistants often hallucinate SCOTUS rulings without a verified ground-truth source.
Registry Updated:2/7/2026
Law students need to analyze the specific tone and questioning style of sitting justices.
Predicting the outcome of pending cases based on historical vote patterns.