AI-grounded legal research across 19M+ cases, statutes, and regulations. Every citation verified. Every answer traceable to primary law.
Built on PACER, CourtListener, SEC EDGAR, FJC, and state courts. No proprietary content licenses required. Just verified, structured public law.
Purpose-built tools for modern legal research, litigation strategy, and case analysis.
Natural language search grounded in cases, statutes, and regulations. Ask questions, get cited answers.
Automated good-law checking with positive, cautionary, and negative treatment signals.
Motion grant rates, timing benchmarks, and judicial tendencies powered by structured docket data.
Ask questions in plain English. Get answers grounded in primary law. Validate citations automatically. Analyze judge behavior before filing.
Argumatix ingests and structures data from authoritative public legal sources, continuously.
The official electronic public access service of the United States federal judiciary. Docket entries, filings, and case records from all 94 federal district courts.
The largest structured collection of judicial opinions available. Full-text opinions, oral arguments, and comprehensive citation networks spanning federal and state courts.
The official repository of corporate filings for every public company in the United States. 10-K, 10-Q, S-1, proxy statements, and insider transaction records.
The research and education agency of the U.S. federal courts. The Integrated Database covers every federal civil case filed since 1970 — the gold standard for litigation analytics.
Federal enforcement actions, product recalls, warning letters, and compliance data. Essential for pharmaceutical litigation, product liability, and regulatory dispute research.
The daily journal of the United States Government. Proposed rules, final rules, executive orders, and agency notices — the authoritative source for all federal regulatory activity.
"I built Argumatix because I believed the most valuable legal data was already public — it just needed the right engineering and AI to become truly useful."
