This lesson explains what the Law Society of Ontario's generative-AI guidance and the 2026 Legal Aid Ontario Lawyer Self-Report requirement mean in day-to-day practice. It is general information about regulatory guidance, not legal or professional-responsibility advice, and reflects Ontario requirements as of August 2026 — confirm your current obligations directly with the Law Society of Ontario.
No new rules — three existing duties, applied
In its April 2024 white paper on generative AI, the LSO didn't create an AI-specific rulebook. It confirmed that three existing professional-conduct rules already cover it, and spelled out what each one requires when a tool is involved.
Competence (Rule 3.1-2). You have to understand what the tool can and can't do before you rely on it, and independently verify anything it produces before it reaches a client or a filing.
Scenario — an associate asks a generative AI tool to summarize case law for a factum. Competence means reading the actual cases before the summary goes in the document, not trusting the tool's citations on faith — hallucinated citations are one of the risks the LSO names directly.
Confidentiality (Rule 3.3-1). Before client information goes into any AI system, you need to know how that system collects, stores, and uses the input.
Scenario — pasting a client's settlement details into a general-purpose chatbot to get a faster first draft is a confidentiality decision, not just a productivity one — know the tool's data-retention and training policy before you paste.
Supervision (Rule 6.1-1). If a junior lawyer, paralegal, or staff member uses AI on a file, supervising that work is your obligation, the same as supervising their non-AI work.
Scenario — a paralegal drafts a client letter with AI assistance; the responsible lawyer's review still has to happen before it goes out, not after.
When client consent comes into the picture
The LSO's guidance doesn't require telling every client you used AI on their file, as a blanket rule. But informed consent may be required in specific circumstances — chiefly when client information would be entered into a system that retains it or could use it to train future models. The guidance points to three practical questions when deciding whether disclosure is warranted: would the AI's involvement be made public regardless; would the client reasonably expect you, personally, to have prepared the material; and would client personal or proprietary information be entered into the system at all. If the answer to that last one is yes and the tool's data handling isn't fully understood, that's the moment to pause and get consent — not after.
The 2026 shift: it's now a checkbox on your annual filing
Guidance is one thing; an attestation is another. Starting with the 2026 filing cycle, Legal Aid Ontario requires every roster lawyer to confirm, on the annual Lawyer Self-Report, that they have read and are complying with the LSO's generative-AI guidance.
Since January 2026, Legal Aid Ontario requires every roster lawyer to confirm annually, on the Lawyer Self-Report, that they have read and comply with the Law Society of Ontario's generative-AI guidance.Legal Aid Ontario, December 2025 in-brief
That turns AI literacy from a personal-interest topic into a standing compliance item with a specific date attached. If you take Legal Aid work, "I haven't looked into this yet" stopped being a neutral answer in January.
A four-question vendor checklist
Whatever tool you're evaluating — a general chatbot, a legal-specific assistant, or a full practice-management platform's built-in AI — the LSO's guidance reduces to four questions worth asking before client information touches it.
- Is client input used to train the model? If yes, that's a confidentiality problem before it's anything else.
- How long is the data retained, and by whom? "Deleted automatically" and "retained indefinitely for product improvement" are different products, whatever the pricing page says.
- Where is the data processed? Some jurisdictions carry compelled-disclosure exposure that Canadian-hosted alternatives don't.
- What can the tool do without your approval? Drafting and suggesting is a different risk profile than a tool that can send, file, or transfer without a human in the loop.
Module 3 of this Academy walks through how to put these four questions to a vendor in a real evaluation call — if you'd rather not wait for it to publish on its own, join the newsletter and it lands in your inbox the day it's live.
What this means for choosing a tool
These questions aren't abstract for us either — they're the same ones we'd want a firm to ask about DROZlegal. On data: client data is stored in Canada (AWS ca-central-1), and AI processing runs through Anthropic's commercial API, which doesn't use inputs or outputs to train models and deletes them automatically within roughly 30 days — not "zero data retention," which is a different, unclaimed arrangement. On the fourth question — what a tool can do without approval — DROZlegal's agents can prepare drafts, route work, and queue actions, but six categories of action (trust money, court filing, settlement, commencing litigation, engagement approval, outbound client email) are permanently gated to a human, by design, not by setting. For a longer look at how that compares to an AI add-on approach, see Clio vs DROZlegal: Feature by Feature.
Frequently asked questions
Can I use ChatGPT for client work? Yes — the LSO doesn't prohibit general-purpose AI tools. You still have to independently verify anything it produces, understand its data handling before client information goes in, and supervise any AI-assisted work the same way you'd supervise a person's.
Do I have to tell clients I used AI on their file? Not automatically, as a blanket rule. Disclosure and informed consent become relevant when client information would be entered into a system that retains or trains on it, or when the client would reasonably expect the work to be prepared by you personally — the three-question test above is the practical way to decide.
What records should I keep? The guidance doesn't prescribe a specific log format, but given the January 2026 Lawyer Self-Report attestation, it's worth being able to show, if asked, which tools you use for client work, what you know about their data handling, and how you verify their output before relying on it.
Read more from the Academy: Lawyer AI Academy hub.
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