Legal research question scoping

For legal research service firms, turn lawyer-approved research requests into lawyer-approved research brief. Address this specific problem: research assignments omit jurisdiction and decision context. The aim: precise research scope before billable work. The pilot tests whether that benefit holds up against reviewer effort and real operating costs.

The buyer creates a project, supplies lawyer-approved research requests, and confirms scope and access. Users correct extracted facts, resolve flagged uncertainties and approve the final lawyer-approved research brief before use. Retain source links and a version history for the next cycle.

How the AI works

AI assists these bounded tasks: extract stated questions; flag missing boundaries; draft clarification prompts. Use only lawyer-approved research requests and preserve uncertainty in lawyer-approved research brief. Keep model suggestions separate from verified facts. Link factual outputs to authorized input evidence and show missing information explicitly. Use deterministic checks for counts, dates, identifiers and arithmetic where applicable. A designated reviewer validates consequential outputs and signs off the delivered result.

Safeguards

Preserve matter confidentiality, access boundaries and original evidence. Qualified professionals review legal interpretations and final client documents. One organization, one defined input format and one representative pilot batch using lawyer-approved research requests. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.

What to build first

Costed pilot: One organization, one defined input format and one representative pilot batch using lawyer-approved research requests. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: extract stated questions; flag missing boundaries. Support the third task through an assisted review queue: draft clarification prompts. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of lawyer-approved research brief. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.

What it can connect to

Authorized matter files, firm templates and approved legal knowledge collections. Case management, customer records, document storage and notification systems. Begin with an exportable review pack before automating destination writes. Begin with uploads and exports of lawyer-approved research requests. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.

The screens in detail

Give submitters a mobile-friendly step-by-step form with document uploads and a visible completeness checklist. Staff see a queue with missing items and extracted fields. Place the original document beside each uncertain value. Show submitted, clarification required and ready-for-review states. Open with brief and sources; move into legal research question scoping for the detailed task; finish in review and delivery for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.