AI for your firm: Part 2 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: Your law firm is ready for AI when your data lives in one core system, your key processes are written down, your practice management software is fully set up, you have an AI policy, and your team has the capacity for another change. If two or more of those are shaky, fix them first. AI only speeds up whatever is already there.
Everyone is talking about AI. Your clients are asking about it. Vendors are pitching it. A partner forwarded you another article this morning.
And somewhere in the back of your mind is a quieter worry: our systems are already a bit of a mess. What happens if we add AI on top?
That instinct is right. AI won’t fix a messy firm. It just speeds up the mess.
The firms that get real value from AI aren’t necessarily the most tech-savvy. They’re the ones with a solid foundation: clean data, clear processes, a core system the team actually uses, a policy, and people who are ready for change.
Here are five signs your firm’s foundation needs work, and how to build it in five steps.
Sign #1: Your data lives in five places
Client details in the practice management system. Documents on a shared drive. Key emails in someone’s inbox. Deadlines on a whiteboard. Billing notes in a spreadsheet.
AI tools work with the information you give them. If your information is scattered, duplicated or out of date, the output will be too.
Ask yourself: if a new hire needed to find everything about one matter, how many places would they have to look?
Sign #2: Your processes live in people’s heads
“Ask Maria, she knows how we do that.”
Every firm has a Maria. When your intake, billing or file-closing steps exist only in a few people’s memories, you can’t automate them, delegate them or measure them. AI can’t follow a process nobody has written down.
Ask yourself: could you hand a new assistant a one-page guide for your most common matter type?
Sign #3: Your core systems are only half set up
Most firms use a fraction of what their practice management system can do. Templates never got built. Workflows were “phase two” and phase two never came. Reports exist, but nobody looks at them.
That isn’t a software problem. Platforms like Clio, Actionstep and LEAP can do far more than most firms configure. It’s a setup and training problem, and it’s one of the best places to start, because many AI features are being built right into the systems you already use.
Ask yourself: when was the last time your team had real training on your practice management system?
Sign #4: You don’t have an AI policy (but your team already uses AI)
If your firm hasn’t approved any AI tools, there’s a good chance some of your team are using free ones anyway. Industry surveys suggest unapproved “shadow AI” use is common in legal work, often driven by pressure to work faster. We cover the risks in detail in Shadow AI in Law Firms.
The short version: without a policy, your firm can’t control what client information goes where, how AI output is checked, or how AI-assisted work is billed. Regulators expect you to think about all three. In the US, ABA Formal Opinion 512 addresses competence, confidentiality, communication, supervision and fees when lawyers use generative AI (ABA). In Canada, law societies including the Law Society of Ontario, the Law Society of BC and the Law Society of Alberta have published generative AI guidance.
Ask yourself: if a client asked “how does your firm use AI with my information?”, do you have a clear answer? If not, start with our law firm AI policy starter outline.
Sign #5: Your team is still recovering from the last change
Remember the last software rollout? If it was rushed, under-trained or never quite finished, your team may be wary of anything new. That’s not resistance. It’s experience.
New technology only works if people use it. If the last change left scars, AI will meet the same skepticism unless you plan for the people side.
Ask yourself: did your last big tech change end with a team that felt confident, or relieved it was over?
🧠Not sure how many of these signs apply to your firm?
Get a clear snapshot of where you stand, your biggest risks and your best opportunities.
How to get your law firm ready for AI in 5 steps
You don’t need to fix everything before you touch AI. But these five steps make every AI project faster, safer and more likely to pay off.
Step 1: Clean up and centralize your data
Choose one system of record for matters, contacts and documents. Merge duplicates. Archive dead files. Agree on naming conventions. Boring? Yes. Essential? Absolutely.
Step 2: Write down how your firm works
Start with your three most common workflows, for example intake, a standard matter type and month-end billing. Map each step, who owns it and which tool it happens in. These documents become your training material and, later, your automation blueprint.
Step 3: Get the most out of your core system
Configure the templates, workflows and reports you skipped the first time. Train your team properly. If your system truly can’t support how your firm needs to work, plan a move carefully. (See Clio migration and implementation and Actionstep implementation.)
Step 4: Put an AI policy in place
Decide which tools are approved, what information can and can’t be entered, how outputs are verified (every citation checked against a primary source), when to communicate with clients about AI use, and how to bill for AI-assisted work. Align it with your law society or Bar Association guidance.
Step 5: Plan for people, not just software
Involve your team early. Pick a few champions. Train in short, practical sessions. Give people a safe place to ask “dumb” questions. Change management is what turns a tool purchase into time saved. Find out where your team stands before you launch: how they feel about AI, who owns it, how much capacity they have and how comfortable they are with new tools. Our post on the change management side of AI adoption shows what to look for, and our 90-day plan turns it into action.
4 mistakes firms make when they rush into AI
1. Buying a tool before defining the problem. “We need AI” isn’t a goal. “We spend too long summarizing discovery” is. Start with the problem, then find the tool, and vet it with the 8 criteria for secure AI tools.
2. Rolling out to everyone at once. A small pilot with a few willing people lets you learn, fix the rough edges and build success stories before going firm-wide.
3. Skipping verification. AI can produce confident, wrong answers, including case citations that don’t exist. In Zhang v. Chen, 2024 BCSC 285, a BC lawyer was ordered to personally bear the extra costs after two ChatGPT-invented cases appeared in a court filing (BC Courts). Build checking into the workflow from day one.
4. Forgetting to measure. If you don’t record how long tasks take before AI, you’ll never know whether it helped. Set a baseline first, so you can measure the return on your tech and AI spending later.
What a solid foundation unlocks
Once the foundation is in place, AI stops being a gamble and starts being a growth tool:
- Faster first drafts of routine letters and documents, reviewed by a lawyer
- Quicker summaries of long documents and email chains
- Smoother intake and less manual data entry
- Cleaner time entries and billing narratives
- Better visibility into how your firm is actually performing
Just as important, your firm is ready for its next stage of growth: more matters, new practice areas or new offices, without the chaos scaling with you.
We’ve worked with over 70 law firms across Canada and the US, and the firms that grow most smoothly are the ones that fixed their foundations first. We work with law firms in every province and territory across Canada and throughout the United States.
FAQ
How do I know if my law firm is ready for AI?
Look at five areas: your data, documented processes, how well your core systems are set up, whether you have an AI policy, and your team’s readiness for change. Our free AI readiness assessment gives you a snapshot across these areas.
Should we fix our systems before adopting AI?
You don’t have to fix everything first, but clean data, documented workflows and a basic AI policy make AI much safer and more effective. Many firms work on both in parallel.
What’s the first step toward AI for a law firm?
Find out what’s already happening (including any unapproved AI use), then put a simple policy in place. From there, start with one or two low-risk, high-value use cases. Our first-90-days plan walks through it step by step.
Do law societies and Bar Associations allow lawyers to use AI?
Published guidance, such as ABA Formal Opinion 512 and guidance from the Law Society of Ontario, Law Society of BC and Law Society of Alberta, addresses how lawyers can use generative AI responsibly. It focuses on competence, confidentiality, supervision and verification. Check the guidance in your jurisdiction, and contact your regulator’s practice advisors with specific ethics questions.
Does our practice management software need to change before we use AI?
Not necessarily. Many platforms are adding AI features. Often the bigger opportunity is configuring and training on the system you already have.
Ready to build your foundation? Get your free AI readiness assessment · Learn about AI implementation for law firms
Related reading: Fix your back end so you can bill more · Explore our legal operations consulting
