Disclosure: DROZlegal builds one of the AI practice-automation platforms a firm might eventually shortlist. This checklist is about your firm's internal readiness, not about scoring vendors — including ours — so no vendor comparison appears below. When our own product comes up, it's as a worked example of the level of detail any vendor's answer should give you, not a pitch.
Why "which vendor" is the wrong first question
Most law firms start an AI evaluation by comparing platforms. That skips a step. Per Clio's 2026 Legal Trends Report for Canada, 93% of mid-sized Canadian firms already use AI in some capacity, and integration into an already-crowded stack is the top-reported barrier to adopting new tools — not a shortage of vendors to choose from.
The governance side tells the same story. The Best Lawyers in Canada 2026 survey data cited by Thomson Reuters found 74% of Canadian legal professionals are "slightly concerned" and 14% "very concerned" about AI-related risk, even as adoption climbs — and only 11% of firms actively communicate their AI use to clients. That's not a vendor problem. It's a readiness problem, and it's answerable before you ever open a demo call.
The 12-question readiness checklist
Work through all four groups. A single "red flag" answer isn't disqualifying — but two or more in one group means that's the thing to fix before you spend time evaluating software.
1–3. Data & workflow maturity
| # | Question | Why it matters | Red flag answer |
|---|---|---|---|
| 1 | Can you name, in writing, which of your current tools already touch client data — and where each one hosts it? | You can't audit what an AI layer would add to a stack you haven't mapped. Per LEAP's 2026 Profitability in Law report, 71% of Canadian legal professionals already run three or more software platforms daily. | "We'd have to check with IT" or "each partner sort of has their own system." |
| 2 | Is there one place a matter's status actually lives, or does it depend on who you ask? | AI features act on structured data. If status lives in memory, inboxes, and sticky notes, there's nothing consistent underneath for a tool to read. | Different staff give different answers about where a file currently stands. |
| 3 | Do you already know which practice areas or file types carry privileged material that needs extra AI safeguards? | The Law Society of Ontario's April 2024 white paper requires "adequate security measures" before confidential or privileged information becomes AI input — a decision made per matter type, not per tool. | "Basically everything is confidential," with no further breakdown by file type. |
4–6. Compliance posture
| # | Question | Why it matters | Red flag answer |
|---|---|---|---|
| 4 | Does the firm have a written AI use policy — not a verbal understanding? | The LSO's guidance tells firms to develop an overarching AI policy before integrating tools, not after adoption is already underway. | "Everyone just knows not to paste in client names" is the entire policy. |
| 5 | Have you vetted the AI tools staff are already using informally — not just the ones you're planning to buy? | Clio's 2026 Canada data notes smaller firms lean more on generic public AI tools rather than legal-specific, secured ones, often without weighing the privilege exposure. | Nobody has asked associates or paralegals what they already paste client information into. |
| 6 | Do you have a documented process for telling clients when AI touched their file? | Per the Best Lawyers Canada 2026 survey, only 18–29% of firms (by size) get client consent for AI use, and 7% never disclose it — a gap regulators are actively watching. | Disclosure happens "if it comes up," with no standard language. |
7–9. Staff buy-in
| # | Question | Why it matters | Red flag answer |
|---|---|---|---|
| 7 | Has staff had actual training on responsible AI use — not just a login? | The LSO's Quick Start Checklist names employee training as a foundational safeguard, alongside vendor due diligence and audit trails. | "The tool is pretty intuitive" is offered as a substitute for training. |
| 8 | Is a named person responsible for reviewing AI-assisted work before it goes out? | The LSO is explicit that some tasks "require the input of the licensee and the application of their legal competence and cannot be delegated." Supervision needs to be a role, not a hope. | "Whoever has time that day" reviews AI output. |
| 9 | If you asked your team today, would you actually know what AI tools they're already using unsupervised? | 69% of legal professionals report using general-purpose AI tools at work, per 8am's 2026 Legal Industry Report — frequently ahead of any firm policy. | Leadership is confident the answer is "nobody," without having asked. |
10–12. Budget & change realism
| # | Question | Why it matters | Red flag answer |
|---|---|---|---|
| 10 | Have you priced the real total — platform, add-ons, and change-management time — not just the sticker price? | 43% of Canadian legal professionals cite pricing pressure as a barrier to profitability, per LEAP's 2026 global report, and per-user software pricing in Canada already runs roughly $39–$149+/month before add-ons. | Budget is one number, with no line item for training or migration hours. |
| 11 | Does one person have the authority to approve a pilot — and end it on a fixed date if it doesn't work? | Firms without a named decision-maker tend to let evaluations drift instead of reaching a real yes or no. | "The whole team has to agree" before anything moves forward. |
| 12 | What specific bottleneck are you trying to solve — and would this tool actually touch it, or just add a tab? | 40% of Canadian legal professionals say consolidating into one platform, not adding another point tool, would be their firm's best technology investment, per LEAP's 2026 report. | The honest answer is "we should probably have AI," with no named bottleneck behind it. |
What a real vendor answer should look like — for DROZlegal specifically: client data is stored in AWS Canada (ca-central-1), encrypted in transit and at rest; AI processing runs under Anthropic's commercial API terms, meaning inputs and outputs are never used to train models and are auto-deleted within roughly 30 days — that's not a zero-retention guarantee, since we don't hold a separately negotiated zero-data-retention arrangement. Any third-party security or compliance certification a vendor claims should come with a plain answer to one question: is it fully attested today, or still in progress? Get that answer in writing. That's the level of specificity to expect once you're vetting a specific vendor — not "your data is secure."
Once you've cleared the checklist
A firm that answers most of these cleanly is actually ready to evaluate specific tools — and the conversation changes once you get there. Our adoption-economics breakdown for 1–5-lawyer firms covers what changes in the day-to-day once a firm crosses that line, and the plain-language LSO guidance explainer covers the compliance duties behind questions 3, 4, and 8 in more depth. If your practice touches litigation, question 8's named-reviewer duty gets a lot more concrete once a document is actually headed to court: our AI citation-verification checklist for Ontario court filings is the per-document version of that same review, grounded in two real 2026 Law Society Tribunal decisions.
From there, two resources do the next job. Our full Canadian comparison hub scores the ten serious practice-management platforms — including where DROZlegal sits — on data residency, trust compliance, AI data handling, automation depth, and cost. And once you have a shortlist, our free 32-item vendor due-diligence checklist is the tool built for scoring a specific vendor, not your own firm.
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