How to Implement AI in a Law Firm: A Practical First-90-Days Plan

AI for your firm: Part 4 of 8. A short series for law firm leaders on getting AI right, from the risks you can’t see to the policy, tools and plan that fix them.

Quick answer: Here’s how to implement AI in a law firm without a big transformation project. In days 1–30, pick one use case and write a one-page policy. In days 31–60, choose a secure tool and pilot it with a small group. In days 61–90, train people, measure the result and decide whether to expand.

Your managing partner wants an AI plan by the end of the quarter. Half your team is curious. The other half is quietly worried. And you’re the one who has to turn “we should do something with AI” into something real, without a confidentiality scare and without a rollout everyone ignores.

Here’s the good news. You don’t need a transformation program. You need one use case, one page of rules, one secure tool, a small group of willing people, and a way to tell whether it worked.

That’s your first 90 days. This plan assumes your firm’s basics are in decent shape. If you’re not sure, read Is your law firm ready for AI? first, then come back.

Why do most attempts to implement AI in a law firm stall?

The pattern is familiar. Someone buys a tool because a vendor demo looked impressive. It’s rolled out to everyone at once with a 20-minute walkthrough. A few people love it. Most try it twice and go back to the old way. Nobody wrote down how long tasks took before, so nobody can say whether it helped.

Meanwhile, the people who are keen aren’t waiting for permission. If your firm hasn’t offered an approved option, some of your team are probably using free tools on their own. We cover that risk in Shadow AI in Law Firms.

There’s also a professional reason to plan. ABA Formal Opinion 512 says managerial lawyers must establish clear policies on the firm’s permissible use of generative AI, and that supervisory lawyers must make reasonable efforts to make sure lawyers and staff follow them, including through training. Canadian guidance points the same way. The Law Society of Ontario tells firms with employees to develop AI policies and review AI-assisted work, and the Law Society of Alberta’s Generative AI Playbook says to supervise and to implement and publicize policies.

A 90-day plan is how you do that without boiling the ocean.

Days 1–30: Pick one use case and write your ground rules

Step 1: Pick one use case, not five

“Implement AI” isn’t a goal. “Cut the time we spend turning intake notes into a first-draft client letter” is.

A good first use case is:

• Frequent. It happens every week, so you’ll learn fast.
• Annoying. Your team already dislikes doing it.
• Checkable. A person can verify the output in minutes.
• Contained. A mistake gets caught in review before it reaches a client or a court.

Common starting points include first drafts of routine letters and emails, summaries of long documents or email chains, call and meeting notes, and time-entry narratives. Not sure which fits your practice? See AI use cases by practice area.

Then write it as one sentence with a baseline: “Reduce the time to produce a routine document from X minutes to Y minutes, with every output reviewed by a lawyer.” Time a handful of real tasks now, before AI. That baseline is your proof later.

Step 2: Set your ground rules on one page

You don’t need a 30-page policy to start. You need a one-page version that answers six questions:

1. Which tools are approved?
2. What information can and can’t go in?
3. Who reviews the output, and how?
4. When do clients hear about AI use?
5. How is AI-assisted work billed?
6. Who do people ask when they’re unsure?

Write it in plain language and put the name of one person at the top. Later you can expand it into the full document in What to put in your law firm AI policy. Align it with the guidance that applies to you, whether that’s ABA Opinion 512 and your state Bar Association, or your provincial law society.

Before you announce: take a quick read of your team

Before you announce anything, spend an hour with the people who will be affected. Ask what they’re worried about, what they’d love to hand off, and how much room they have after any recent changes. Name one person to own the rollout and ask a partner to back it visibly. A cautious team that has been heard adopts new tools far more readily than one handed a tool and a deadline. We cover this in more detail in Is your team ready for AI? The change management side of AI adoption.

🧭 Not sure which use case should go first, or what your rules should say?

Our free AI readiness assessment shows where your firm stands, your top opportunities and the risks to fix first.

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Days 31–60: Secure your tools and run a small pilot

Step 3: Choose a tool you can defend

Before anyone pastes anything into anything, check three things: where your data goes, whether your inputs are used to train the tool, and what the vendor’s terms say. ABA Opinion 512 says, as a baseline, that lawyers should read and understand a tool’s terms of use and privacy policy, or consult someone who has. The Law Society of Ontario’s guidance says the same about reviewing terms and understanding how inputs are used.

Start with what you already own. Many practice management and productivity platforms are adding AI features, so check what’s included in your current plans, and where that data is stored, before you buy anything new. Sometimes the best first tool is one you’re already paying for. Compare any new option on criteria, not brand names: How to choose secure, compliant AI tools has the full list.

Step 4: Pilot with a small group

Pick a handful of people, roughly three to five, and run the pilot for about four weeks. Include a mix of roles. Assistants and law clerks often know the repetitive work best. Include one healthy skeptic. They’ll find the problems.

Set simple pilot rules:

• Everyone uses only the approved tool, for only the chosen use case.
• Everyone records the time a task takes, including the time spent checking the output.
• A lawyer reviews every output before it’s used.
• The group meets for 20 minutes each week to share what worked and what didn’t.

Test accuracy before you trust it. ABA Opinion 512 gives a useful model. Its example: a lawyer who has tested a tool on a smaller set of contracts, comparing the tool’s summaries to a manual review, would not necessarily have to manually review every document in a later, larger set. Run that kind of test on documents you know well.

Days 61–90: Train, measure and decide

Step 5: Train people, not just lawyers

Assistants, clerks and accounting staff are often your heaviest users, so train all of them. Keep it short and practical: what can go in, how to write a useful request, how to verify the output, and what to do when something looks wrong. ABA Opinion 512 says supervisory duties include making sure people are trained in the ethical and practical use of the tools relevant to their work, and the Law Society of Ontario recommends training employees on a tool’s limitations, potential biases and ethical pitfalls.

Use real examples. In Zhang v. Chen, 2024 BCSC 285, a BC lawyer put two cases that ChatGPT had invented into a notice of application. The court called citing fake cases an abuse of process. It found no intent to deceive and declined special costs, but ordered her to personally bear the extra costs her error caused (BC Courts). It makes the case for human review better than any slide.

Step 6: Measure, then decide

Compare the pilot to your baseline:

• Time: minutes per task before and after, counting review time.
• Quality: how many corrections reviewers made, and what kinds.
• Adoption: how many pilot users still use it each week, unprompted.
• Rule compliance: any slips, near-misses or questions the one-pager didn’t answer.
• Feedback: what the team would change.

Then make one of three calls: expand to a second group, fix what you found and run another month, or stop. Stopping is a legitimate result. It’s much cheaper than a firm-wide rollout nobody uses.

Check how you bill. If you bill hourly, ABA Opinion 512 says you bill actual time, so faster work means fewer hours, not the same hours. It also says you generally can’t bill a client for time spent learning a tool you’ll use regularly. The Law Society of Ontario’s guidance asks whether any AI-related charges are fair, reasonable and disclosed. Settle your approach before the next invoice goes out.

Four mistakes that stall a 90-day plan

1. Choosing the tool before the problem. Define the use case first.
2. Skipping the policy until “after the pilot.” People form habits in the pilot. Set the rules first.
3. Starting with everyone. A small pilot lets you fix problems while the stakes are low.
4. Treating review as optional. Every output gets checked by a person, and every citation is checked against a primary source.

If no single person owns the plan, add a fifth: nobody is in charge. Name an owner on day one.

FAQ

Ready to start?

You don’t have to build this plan alone. Our free AI readiness assessment gives you a snapshot of where your firm stands across policy, data and security, current tools, workflows and people, plus your top opportunities and the guidance that applies to you. We work with law firms in every province and territory across Canada and throughout the United States, and we’ve worked with over 70 law firms.

Ready for your first 90 days? Get your free AI readiness assessment · Learn about AI implementation for law firms

This article is general information, not legal or ethics advice. Consult your law society or Bar Association’s practice advisors about your specific obligations.