AI Agent Development for Legal Services

Give an agent the wrong permissions and it becomes a liability; give it the right ones and it absorbs an entire workflow. We spend the first week on that boundary, then build fast against it.

In legal services, privilege and confidentiality mean data handling is scrutinised more than model performance. That single fact reshapes how ai agent development has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is contract review and clause extraction, usually integrated against matter management. Integration comes before intelligence. A model that cannot reach your systems of record is a demo with good manners.

Deployed across regulated and unregulated sectors, with audit trails where the regulator expects them. Six weeks to something running in production, not six quarters to a strategy document.