The fastest way to make AI adoption fail is to announce that the firm is “using AI” without defining what that means.
That approach produces inconsistent experiments, uneven quality, uncertainty about confidentiality, and a predictable divide between people who adopt a tool immediately and people who refuse to touch it. None of that is a strategy.
A better approach is a controlled 90-day pilot. The purpose is not to prove that AI can do everything. It is to determine whether one approved tool can improve one defined workflow without compromising client information, professional judgment, or work quality.
Part 1 of this series explained where AI fits in a law practice: as an assistant for organizing information, locating issues, comparing documents, and creating a reviewable first draft—not as a substitute for lawyer judgment. This article turns that principle into an adoption plan.
What a pilot should accomplish
A useful pilot answers five questions:
What problem are we trying to solve?
Which workflow will we test?
Who owns the process and reviews the output?
How will we protect client information and verify quality?
What evidence will tell us whether to adopt, revise, expand, or stop?
The firm should be able to describe the pilot in one sentence. For example:
“For 90 days, the litigation team will use an approved AI tool to create first-pass chronologies from produced records, with attorney review before the chronology is used in a client update, deposition plan, filing, or case strategy discussion.”
That is specific enough to manage. “We are going to use AI for litigation” is not.
Choose one workflow, not an entire practice area
The strongest pilot begins with a recurring bottleneck that the firm already understands. Good candidates include:
producing first-pass chronologies from records, discovery, or client documents;
summarizing long transcripts or document productions for attorney review;
comparing versions of contracts or pleadings;
preparing internal research outlines linked to verified authorities;
creating internal intake summaries and missing-information checklists; or
drafting routine internal or client communications from a lawyer-approved factual record.
The best use case is usually high-volume, repetitive, document-heavy, and reviewable. It should save time at the information-organization stage while leaving legal analysis, strategy, and final approval with people.
Avoid using the first pilot for the firm’s highest-risk work. Do not begin with unreviewed client advice, court filings, settlement communications, or a workflow that requires the system to make a legal, factual, or strategic decision on its own.
Build a small pilot team
AI adoption is not solely an IT project and not solely a lawyer project. The pilot team should include people who understand the workflow, the risk, and the day-to-day operational reality.
A practical team includes:
Role
Core responsibility
Attorney sponsor
Defines the legal use case, review standard, and client-service objective.
Workflow owner
Documents the current process, trains users, gathers feedback, and identifies friction.
Participating lawyers or staff
Use the tool in real but controlled work and report what works and fails.
Technology or security contact
Confirms that the selected platform is approved and that access and information-handling expectations are understood.
Final reviewer
Reviews a sample or all output, depending on the risk of the task, before the output is used beyond the pilot team.
The team does not need to be large. In fact, smaller is better at the beginning. A pilot with two to five regular users can generate clearer feedback than a firmwide launch with no defined accountability.
Days 1–30: define the process before measuring it
The first month is for setup. The firm should document how the work is completed today, choose the approved tool, establish guardrails, and set a baseline.
Map the current workflow
Ask the people who actually do the work:
What begins the task?
What source documents are required?
Who performs the first review?
What takes the most time?
What mistakes or omissions occur most often?
What must be checked before the result is used?
What does a successful output look like?
The goal is to understand the current process well enough to compare it with the pilot process. Without a baseline, “AI saved time” is only an impression.
Set the rules before use begins
The pilot should have a short written protocol that answers:
which tool is approved;
which matters or documents may be used in the pilot;
what information requires additional review before submission to the tool;
who has access;
what output requires attorney review;
where final work product is stored; and
who should be notified if the tool produces an unsupported citation, a factual error, a confidentiality concern, or an unexpected result.
The protocol does not need to be a 30-page policy. It does need to be clear enough that participants do not invent different rules for themselves.
Days 31–60: run real work through a controlled process
The middle of the pilot is where the firm tests whether the workflow works in practice.
Participants should use the tool on genuine matters within the approved scope. But the pilot should still include a human checkpoint before any output becomes client work product, informs a legal strategy decision, or is filed with a court.
A simple workflow might look like this:
A participating user prepares the approved source materials.
The user runs the defined task through the approved platform.
The user reviews the output against the source documents.
The designated attorney or reviewer checks the output at the level appropriate for the task.
The team records the time spent, corrections made, and any issue encountered.
The final approved work product is saved through the firm’s normal matter-management process.
This stage should test actual work, not demonstrations. A tool may look impressive on a clean sample document and still be unhelpful when it encounters incomplete records, scanned PDFs, inconsistent dates, multiple parties, or a messy production. That is precisely what the pilot needs to reveal.
Train for judgment, not prompts
Training should focus less on clever instructions and more on professional use.
Participants should understand:
the purpose and limits of the selected workflow;
the source materials the tool is—and is not—receiving;
how to ask the tool to identify uncertainty rather than invent an answer;
how to verify facts, citations, calculations, and quotations;
when a result should be escalated to an attorney or the pilot owner; and
why unreviewed output cannot be sent to a client or filed with a court.
The most important training message is this: a polished answer is not necessarily a correct answer. The reviewer’s job is to confirm the result, not merely improve its wording.
Days 61–90: measure the results and decide what happens next
The final month should not be a victory lap. It should be a candid evaluation.
A useful pilot measures more than raw time savings. Firms should ask whether the process improved the work, improved the client experience, and fit the firm’s risk controls.
What to measure
Measure
Why it matters
Time to complete the task
Shows whether the workflow actually reduces effort or simply moves it to review.
Time spent on review and correction
Identifies whether the first-pass output is reliable enough to be useful.
Completeness of the output
Tests whether the tool surfaced the dates, issues, documents, or differences the reviewer needed.
Error type and frequency
Reveals whether errors are minor formatting problems or material factual, legal, or confidentiality concerns.
User adoption and feedback
A process that no one will use consistently is not ready to scale.
Client-service effect
Consider turnaround time, responsiveness, and whether attorneys gained time for counseling and strategy.
Risk-control performance
Confirms whether users followed the protocol and whether human review caught problems before external use.
The firm does not need a perfect dashboard. A short scorecard completed after each pilot task can be enough to identify the trend.
The scale-or-stop decision
At the end of 90 days, the pilot team should recommend one of four outcomes:
Adopt: The workflow improved speed or quality, the review process worked, and the risks were manageable.
Revise: The use case is valuable, but the protocol, training, source preparation, or review expectations need adjustment.
Expand carefully: The workflow should move to another team or matter type, but with the same controlled process and measurement.
Stop: The workflow did not create enough value, could not be verified efficiently, or created risks the firm could not adequately control.
Stopping a pilot is not a failure. It is evidence that the firm tested a process before making a larger investment or exposing client work to an unproven workflow.
Common mistakes to avoid
Starting with a tool instead of a problem
A firm may buy an AI product because competitors are discussing AI, then search for a reason to use it. That reverses the process. Define the workflow problem first.
Measuring only speed
A faster first draft is not useful if it creates more review work, misses material information, or confuses the client. Measure quality and review burden along with time.
Treating all work as equally risky
A first-pass chronology and a client-facing legal opinion do not require the same approval process. The firm should match supervision to the nature of the work.
Assuming adoption will happen by announcement
People need a defined task, brief training, an approved tool, a person to ask when something goes wrong, and a reason to believe the process will make their work better.
Failing to capture lessons
A pilot should create a reusable playbook: what source materials worked best, what review was needed, what errors occurred, and what instructions or safeguards improved the result. Otherwise, each new team begins from zero.
The real goal: better professional time
A good AI pilot is not about proving that a machine can write. It is about proving that the firm can use technology to reduce low-value friction while preserving the parts of legal practice that require professional responsibility.
If a tool shortens the time needed to organize records, compare documents, or prepare a reviewable first draft, the lawyer can spend more time asking the question that matters: what should the client do next?
That is the standard for success. Not more output for its own sake. Better use of trained people, better responsiveness, and better service to clients.
Bottom line
A 90-day pilot gives a firm a disciplined way to move from curiosity to evidence. Choose one use case, limit the participants, use approved technology, require human review, measure the result, and decide whether to adopt, revise, expand, or stop.
The next article in this series will address the governance layer that makes responsible adoption sustainable: confidentiality, privilege, vendor diligence, source verification, and internal quality-control rules.
This article is for general informational purposes only and is not legal advice. Firms should evaluate their own professional obligations, client-information practices, approved technology, and supervision procedures before implementing an AI-assisted workflow.