Use case · Law firms

Knowledge search across the document system

Find the firm's own best work, with the walls respected.

The problem

The precedent exists. A partner drafted it two years ago for a similar deal, and nobody can find it, so it gets drafted again from a template.

How we would run it

  1. STAGE 1

    Evidence

    A written picture of the current state, with its gaps named.

    Inventory where the good material actually lives — the document system, yes, but also mailboxes and personal drives. Ask people where they look first.

  2. STAGE 2

    Baseline

    A baseline measurement both sides agree on.

    Measure retrieval today on real questions from real matters, and test the ethical wall model against search before anything is indexed.

  3. STAGE 3

    Design

    A design your architecture and risk leads have approved.

    Set the metadata standard, curate the collections that carry the value, and make permissions and walls part of the retrieval design rather than a filter bolted on after.

  4. STAGE 4

    Ship

    Working software or a live process, in production.

    Launch to the practices that asked for it, with results showing why a document matched and who may open it.

  5. STAGE 5

    Prove

    A result measured against the baseline, and an instrument you keep.

    Re-run the retrieval measure, report the change, and hand the standard over with an owner attached.

What you get

  • Metadata and taxonomy standard the firm will maintain
  • Curated precedent and know-how collections for the practices in scope
  • Permission and ethical-wall model, tested against retrieval
  • Retrieval quality measure you can re-run

What it needs from you

  • Document system access, with the wall configuration as it stands
  • Real questions from real matters, for testing
  • A practice sponsor willing to curate

Where the human stays

Walls and permissions are enforced at retrieval, and tested with deliberate attempts to breach them before launch. Results show provenance so nobody relies on a document they cannot open.

How we would know it worked

  • Retrieval quality on the question set, before and after
  • Use by the practices in scope
  • Wall tests passed at every change

Where it starts

Starts as a sprint

AI Tooling Reality Check

What you own, what you use, and what the demo did not show.

Sprint details →

Grows into

Data & KM Foundation

Make your own work findable, so AI has something good to work with.

Program details →
Scope this as a sprint →
Start here

Start with one sprint

Two to three weeks, one approver, a deliverable you keep. Tell us the problem and we'll come back within one business day with a scope, a date and a fee.

Scope a sprint →