Engagement format
Legal AI Research Pipeline
Corpus, retrieval, extraction, citations, and QA for legal research at scale.
Describe the taskProblem framing
What must be resolved
A large legal corpus loses value when a team cannot show source currency, excerpt provenance, retrieval completeness, and the path from source to conclusion.
Fit
Suitable for
For LegalTech teams, universities, and organisations analysing legislation, decisions, or case material.
Deliverables
What remains after the engagement
- Corpus plan
- Processing pipeline
- Citation QA
- Reproducibility package
Process
How the work proceeds
- 01Legal question
- 02Unit of analysis
- 03Corpus
- 04Test
- 05Report
Boundaries
Risks checked early
- Outdated sources
- Mixing fact and interpretation
- No citation audit
FAQ
One practical question
Does the system provide legal advice?
No. It supports research and professional work; the qualified user remains accountable.
Scope and cost
Evidence before an estimate
I do not publish a fictional ‘from’ price. Scope and estimate follow a review of the workflow, material access, risk, expected artifact, and acceptance criterion.
Start by describing the workflow
The first response will identify whether this format fits and what is needed for an honest scope.