Work in the context of a specific matter
AI can summarise documents, build timelines, find inconsistencies and prepare questions while access stays limited to the authorised matter.
LEGAL AI / CONTROLLED LEGAL WORK
AI for law firms with citations, controlled sources and lawyer approval.
Legal AI must distinguish between a client matter, an authoritative source, a working draft and a final legal output. We therefore build a working system that exposes evidence, respects permissions and leaves accountable decisions to lawyers.
01 / PRINCIPLE
Accuracy does not come from one prompt.
Legal workflows require the right sources, versioning, access controls, traceable citations and tests based on the firm’s real tasks.
Controlled drafting and comparison
Contract drafts, clause reviews and checklists are grounded in internal templates and approved firm knowledge.
Return the answer with its evidence
The retrieval layer returns relevant passages and source metadata so the user can verify what a draft is based on.
02 / IMPLEMENTATION
What can be piloted safely
Suitable first steps include internal search across templates and know-how, matter summaries, deadline and obligation extraction, document comparison or preparation of a working draft. Final legal advice, filings and client communication remain under lawyer control.
- 01Matter and client isolation
Identity, permissions, audit and sharing rules.
- 02Approved source corpus
Internal templates, methodologies and external sources with version and date.
- 03Legal evaluation set
Questions, documents and expected outputs for regression testing.
- 04Human in the loop
Explicit steps that cannot proceed without lawyer review.
03 / DECISIONS
Questions to resolve before deployment.
Scope, architecture and automation level depend on data sensitivity, the workflow and accountability for the outcome.
Does the system replace a lawyer?+
No. It prepares evidence, searches, compares and generates working drafts. Accountable legal assessment and final output remain with the lawyer.
How do you limit fabricated citations or matter facts?+
The model receives retrieved passages and controlled metadata, must show the source and should abstain when evidence is insufficient.
Can sensitive client data stay out of a public cloud?+
Yes. Sensitive components can run locally or in private infrastructure, with external models used only for approved data classes.
Start with one bounded legal workflow.
We define sources, matter boundaries, evaluation tasks and approval points before deciding on the model and integration scope.