Use case · Law firms

Deposition and discovery summarization

Summaries and issue-coded extracts with citations back to the transcript line.

The problem

Transcripts and productions arrive faster than they can be read, and the summary a partner needs tonight is a task nobody has capacity for.

How we would run it

  1. STAGE 1

    Evidence

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

    Collect the summaries the team already produces and what gets used from them. Format matters more than length here.

  2. STAGE 2

    Baseline

    A baseline measurement both sides agree on.

    Time the current work and capture the quality standard from a summary the partner considered good.

  3. STAGE 3

    Design

    A design your architecture and risk leads have approved.

    Design for citation: every assertion links to a transcript line or production page. Agree the issue codes with case strategy in mind.

  4. STAGE 4

    Ship

    Working software or a live process, in production.

    Produce summaries and issue-coded extracts inside the existing workflow, under the case's confidentiality terms.

  5. STAGE 5

    Prove

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

    Have lawyers score a sample against the standard, and report time saved and citation accuracy.

What you get

  • Summaries in the format the team already uses
  • Issue-coded extracts, cited to line or page
  • Quality standard and scoring sheet
  • Confidentiality and retention terms for the material processed

What it needs from you

  • Sample transcripts and productions, with permission to process them
  • Examples of summaries the team considers good
  • The issue codes for the matter

Where the human stays

Summaries are working material for the team, not work product for the client or court. A lawyer reviews before use, and citations make that review fast.

How we would know it worked

  • Lawyer scoring against the quality standard
  • Citation accuracy on a sample
  • Preparation time per transcript

Where it starts

Starts as a sprint

AI Governance Quick-Start

A firm-wide AI policy that respects privilege, and a list of what is approved.

Sprint details →

Grows into

AI Adoption & Enablement

Get AI into the work your fee earners actually do, with evidence for clients.

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 →