AI agents for law firms,
built on the firm’s own archive.
A firm-owned internal AI assistant can make decades of matters, opinions, templates, and institutional judgment usable across the practice — with sources, permissions, and lawyers responsible for every consequential decision.
The knowledge is valuable. Finding and reusing it is slow.
Legal work depends on precedent, judgment, and context, but that knowledge is scattered across matter folders, document systems, email, and the memories of senior lawyers. Generic copilots do not understand the firm’s work product, access boundaries, or drafting standards.
The useful alternative is a private legal knowledge layer the firm owns. Lawyers can search concepts rather than filenames, retrieve the underlying authority or prior work, and draft from approved material without turning an external model into the system of record.
The goal is not autonomous legal judgment. It is faster research, more consistent drafting, and better reuse of the expertise the firm has already paid to create.
Ask. Act. Govern.
Search precedent with sources
Ask across matters, opinions, templates, and research in plain language, with every answer linked back to the authorized source.
Draft from approved knowledge
Governed agents assemble first drafts, chronologies, intake summaries, and document checklists using the firm’s rules and templates.
Preserve privilege and review
Matter-level permissions, audit logs, evaluation baselines, and mandatory lawyer approval keep the system inside professional obligations.
Privilege, confidentiality, and human judgment stay in control.
Deployment follows the firm’s risk posture: private cloud or fully on-premise, with role-based access and no use of client material to train a public model.
- — Matter and ethical-wall permissions carried into retrieval.
- — Citations to the underlying document for every substantive answer.
- — Human approval required before advice, filing, or client delivery.
- — Audit logs and evaluation tests the firm can inspect and retain.
Find the first use case worth building.
A fixed-fee readiness assessment maps the work, the knowledge, the controls, and the 90-day path before you commit to implementation.