The first context-driven AI platform built for litigation—carrying case facts and memory from complaint through trial with outputs you can trust.
General-purpose AI treats every query like a blank slate. It searches generic databases, generates plausible-sounding responses, and fabricates citations with confidence. For most industries, that's an inconvenience. For litigators, it's a professional risk that can end careers.
Advocacy builds persistent intelligence around each matter — every document, ruling, deposition, and strategy note becomes part of a compounding memory layer. Your AI knows your case because it was built to.
Axiom, our proprietary case memory architecture, tracks parties, claims, timelines, rulings, deposition testimony, and strategy notes. Intelligence compounds the longer your team works a matter.
Every AI output is anchored to specific documents in your matter record. Not a fine-tuned general LLM — a context-first architecture purpose-built for litigation accuracy.
Built by former antitrust and securities litigators who know what the workflow demands — Bates-precise references, EML/PST ingestion, parallel document review at scale, and Word-native drafting.
Ingest pleadings, discovery, transcripts, correspondence, and work product. Advocacy supports EML, PST, and Bates-referenced documents.
Our proprietary architecture maps parties, claims, rulings, timelines, and contradictions — creating a living intelligence layer for the matter.
Use the AI Assistant for case-specific questions, the AI Editor for grounded drafting, and Extract for parallel document review at scale.
Every query, review, and note enriches the matter memory. New team members onboard instantly. Knowledge never walks out the door.
Case knowledge stays in the platform when associates rotate. AI outputs are accurate enough to trust for high-stakes filings. Better matter economics without sacrificing quality.
Find the right document or fact in minutes. Draft confidently knowing every AI output is grounded in the actual record. Spend less time on mechanical review and more on substantive analysis.
Faster adoption, less customization, better fit for litigation teams. SOC 2 Type 2 compliance. Measurable success criteria defined before you evaluate.
Clear visibility into matter status and strategy. Handle more in-house, reduce outside counsel spend. AI anchored to the actual record — not a generic database.
"The hallucination problem isn't a bug — it's a structural issue with how these tools are built. They search databases. We build case memory. Those are completely different architectures."
Request a personalized demo and see how context-centric AI changes the way your litigation team works.
Request a Demo →