Baseline
What should a law firm measure before buying legal AI?
Record the workflow's monthly volume, qualified lawyer time, turnaround, corrections and write-offs. Define the trigger, finished output, exceptions and current review standard as well. Without that baseline, a faster demonstration cannot show whether the completed and supervised work actually improved.
Open the Baseline Kit
Suitability
When is a legal workflow suitable for AI?
A workflow becomes testable when it repeats often enough to measure, has a stable trigger and finish line, and has a named owner. The firm must also know who reviews the output, which data may be used and which result would make the test stop.
Run the workflow score
Stop
When should a law firm not run a legal AI pilot?
Do not run the pilot when the work is too rare to measure, no one owns the decision, the approval route is unknown, representative inputs are unavailable or qualified review cannot be provided. Repairing those conditions is useful progress and may be the correct immediate outcome.
Read the readiness model
Test data
How can a law firm test legal AI without live client documents?
Use made-up examples, properly redacted material or an approved historical set when those inputs still represent the task's real variation. Keep the expected answer, source evidence and reviewer standard beside each example. The test should expose failures, not protect the tool with easy cases.
Read the evaluation guide
Ownership
Who should own a legal AI workflow change?
Name one person accountable for the operating decision, not only the technology. The lawyers doing the work, the qualified reviewer, the sponsor and the people responsible for risk, data and IT should each have explicit roles, while one owner remains responsible for the final decision.
Review the working boundaries
Supervision
How should a firm count review time in a legal AI test?
Measure the qualified review needed to reach the accepted finished output. Include corrections, source checking, escalation and repeated work, not only the time to produce the first draft. Compare that completed-work total with the same measure from the current process.
See the six-step test
Failure
What should a legal AI pilot stop condition cover?
Set conditions for unsupported material outputs, unacceptable correction time, prohibited data use, missing evidence, review-capacity failure and operating cost. Agree who can pause the test and what must be retained for review before the first pilot input is processed.
Open the decision guide
Route
When is fixing the process better than buying another tool?
Fix the process first when delays come from unclear intake, ownership, templates, handoffs or review rules. Software cannot resolve an undefined finish line or missing accountability. A cleaner process also creates the baseline and controls needed for a later product comparison.
See how the four routes are compared