Private, secure AI for law firms.
Drafting, deposition summaries, and case law research on models your firm controls. Run open models on hardware in your own building, or a frontier model under an enterprise agreement. Either way, your matters are never used to train anyone's model.
- Input
- Matter files, DMS, email
- Runs on
- Your hardware or your tenancy
- Egress
- Only what you allow
The work that eats your associates' evenings.
Each capability is grounded in your own document set, so answers cite your matters, your precedents, and your templates rather than the open internet.
Drafting from your precedent
Contracts, motions, and correspondence built from the firm's own approved language, not a generic template library.
Deposition and transcript summaries
Timelines, admissions, and contradictions pulled out of long transcripts with page-and-line references intact.
Research with citations
Case law and internal memo search that returns the passage it relied on, so the associate can verify before filing.
Intake triage
Inbound enquiries sorted, conflict-checked against your matter list, and routed with a drafted first reply.
Billing narratives
Time entries turned into client-ready descriptions in the firm's voice, flagged where detail is thin.
Document review at volume
First-pass classification and privilege flagging across a production set, with every call traceable.
Two ways to run it. Both are yours.
Most firms end up with both: the on-premise system for anything sensitive, a frontier model where the work genuinely needs one. You set which matters are allowed to use which, and the interface your team sees does not change either way.
Open models on hardware you own
The strictest option: inference happens on a machine you can physically point at, or in a single-tenant deployment inside your own cloud account. Air-gapped operation supported.
- No outbound network dependency for day-to-day use
- Your documents never leave your network, so there is no third-party processor to disclose
- The security answer is architectural rather than contractual
- Nothing to renegotiate when a vendor changes its terms
- Fixed hardware cost instead of per-seat metering
- Easiest answer to a client security questionnaire
The strongest models, on enterprise terms
For work where capability matters more than physical custody. The same interface routes to a frontier model under a commercial agreement your firm signs, not a consumer terms of service.
- Your matters are not used to train the model, on any route listed here
- Zero-retention operation where the provider supports it, so nothing persists after the answer
- Inference pinned to a region your IT team has already approved
- SOC 2 Type II audited infrastructure underneath every route here
- A BAA signed where a matter touches protected health information
- Same audit trail and matter permissions as the on-premise path
- STEP 01 Scope and connect We map your document sources, matter structure, and access rules with your IT lead.
- STEP 02 Deploy and index The system is installed inside your perimeter and indexes your corpus in place.
- STEP 03 Roll out by practice group One group first, with training and usage review, then widen once partners are satisfied.
Built to survive a client audit.
Confidentiality obligations don't bend for convenience. The architecture is the argument, so here is what it actually does.
- Data flow
- Prompts, documents, and outputs stay inside the boundary you picked. On-premise, that boundary is your network and nothing leaves it. On a frontier model, it is the enterprise agreement, and you set which matters are eligible to use it at all.
- Access
- Matter-level permissions inherited from your existing directory, so ethical walls hold inside the AI as well.
- Auditability
- Every generation records who asked, what was retrieved, and which passages the answer relied on.
- Retention
- You set how long prompts and outputs persist. Deletion is real deletion, on your schedule.
- Model updates
- New models are staged and approved by you before they touch live matters, so nothing changes underneath your team.
Two people have to say yes.
The managing partner
You want leverage on the same headcount, and you cannot afford the story where a client's file ends up somewhere it shouldn't. Owning the system answers both at once, and the on-premise side is a capital decision rather than an open-ended subscription.
The IT director
You inherit whatever the firm buys. This runs where you already operate, authenticates against your directory, and logs what auditors ask for. Where a workload is allowed to leave your network is a setting you control, not a default you have to argue with.
Bring your IT lead. We'll go through the architecture.
A free call with an AI developer. Walk through how your firm actually works and we will tell you which parts are worth automating and which are not. No slideware.