AI intake: turning messy client requests into organised matters
Intake is where legal work either becomes structured or starts chaotic. AI can classify requests, extract facts, and route work before the first lawyer review.
Intake sets the tone for the entire matter. If the first request is copied into a loose email thread, the team spends the rest of the matter reconstructing facts. If intake is structured, documents, deadlines, conflicts, billing, and tasks all start in the right place.
AI intake helps by turning unstructured requests into matter-ready information. It can classify the request, extract parties and dates, identify missing facts, and suggest the next workflow.
Classify before routing
The first useful step is classification. Is this a new commercial contract, a dispute, an employment question, a corporate approval, or a billing issue? Classification determines who should handle the work and what information is required.
When classification happens automatically, intake stops depending on the person monitoring the inbox. The work reaches the right team faster.
Extract the facts that matter
Useful intake extracts the parties, jurisdiction, deadlines, contract value, document type, requested outcome, and known risks. It also highlights missing facts so the client can be asked once, not five times across different email threads.
Connect intake to execution
The real gain comes when intake triggers the next action: a contract review workflow, a drafting workflow, a conflict check, a deadline schedule, or a billing setup. Intake should be the beginning of the matter system, not an isolated form.