AI Systems for Law Firms
Built inside the matter lifecycle. Governed for review. Measured against known answers.
The case studies show exactly what that means — architecture, operating decisions, available evidence and failure modes.
Pilots die quietly.
Usage collapses within a quarter — not because the technology failed, but because nothing about how the work is produced actually changed. Nobody cancels them. The licences renew, the champion moves practice group, and the usage report stops being circulated.
The matter lifecycle.
Intake, scoping, research, drafting, review, billing. Tools sit inside that. They don't replace it. A system that does not know which matter it is working on is a search box with extra steps.
One workflow, taken all the way.
- 01
Diagnose
Workflow mapped to task level: input, decision, output, sign-off, and the consequence if it is wrong.
- 02
Architect
Whose tenancy, which sub-processors, whose identity model. Everything downstream follows.
- 03
Build
One workflow, fixed scope, review gate placed deliberately rather than added later.
- 04
Prove
Scored against known answers. A number your risk committee can act on.
- 05
Govern
Risk tiering, system register, review protocols, vendor assessment, incident runbook. Short enough to be adopted.
The first question is never which tool. It's whose tenancy the data sits in.
Permissions are inherited from your existing identity model, never rebuilt. A retrieval layer that ignores document permissions isn't a search tool — it's a confidentiality breach.
Every build ships with these.
- 01
Source citation on every output. No quotation, no claim.
- 02
A named review gate before anything leaves the firm.
- 03
Escalation below a confidence threshold. The system stops and asks rather than guessing quietly.
- 04
A complete audit trail, sufficient to reconstruct any decision months later.
- 05
Documented failure modes, drawn from testing and live operation.
- 06
The people who run it, trained. A system nobody understands is a system nobody uses.