AI for the systems law runs on.
We co-build AI-native legal SaaS. Full-pod agile delivery for AI-native legal startups — document understanding, contract intelligence, agentic workflows, and RAG over case law. Production-grade, with the security and observability legal buyers demand.
Legal AI fails where it bluffs — and the bench notices first.
Zero hallucination tolerance
Legal work doesn't forgive a confident wrong answer. Citations must resolve, holdings must be verifiable, and the model has to know what it doesn't know.
Citation grounding
Every assertion has to trace back to a paragraph, a statute, a case. Without anchored evidence, output is a liability — not an asset a lawyer can sign.
Document scale
Discovery, case files, and precedent libraries run into millions of pages. Indexing, retrieval, and re-ranking have to hold up at that scale.
Regulated data
Privileged matters, confidential client data, and cross-border compliance all sit inside the same workload. Access boundaries cannot be a soft promise.
Billable-hour adoption pressure
Lawyers measure tools in minutes saved per matter. The product has to slot into existing review and drafting flows, or it doesn't get used twice.
Six capabilities for legal AI that survives review.
Document understanding & extraction
Structured fields, clauses, parties, and obligations lifted out of messy PDFs, scans, and email threads — accurate enough to drive downstream workflows.
Agentic legal workflows
Multi-step agents that triage, research, draft, and route — with checkpoints where a human reviewer signs off before anything leaves the building.
Citation-grounded RAG
Retrieval over case law, statutes, and internal precedent — every answer paired with the paragraphs it stands on. No source, no statement.
Contract intelligence
Clause libraries, playbook comparison, deviation flags, obligation tracking — review that scales without sacrificing the partner's judgement.
Counsel co-pilot UX
Interfaces built for how lawyers actually work — side-by-side drafting, comment-thread review, redline flows, and matter-scoped memory.
Audit-ready inference logs
Every prompt, retrieval, and model response captured with timestamps and user attribution — ready for compliance review and for the next audit cycle.
What we’ve shipped — in production, today.
Full agile team currently shipping an AI-native legal platform — production-grade document understanding, citation-grounded retrieval, and agentic workflows engineered for buyers who measure quality in citations, not demos.
Pod-based delivery with product, engineering, ML, and SRE shipping into the same release train. Security review, observability, and SLA operation built in from sprint one — not retrofitted before the first enterprise pilot.
Adjacent regulated sectors we ship into.
Life Sciences
Multi-agent RAG and project-scoped access for pharma and life-sciences operators — platforms a compliance officer can sign off.
Real Estate & Construction
AI-native platforms for housing, construction, and the built environment — from underwriting to site operations.
Ready to ship legal-grade AI? Talk to us.
Founder-to-founder conversations. A pod sized to your roadmap, shipping into your release train within weeks — not quarters.