Why this exists
The Law Society of Ontario's white paper on generative AI does not treat AI as a separate, optional topic — it ties AI use directly to the professional duties every licensee already carries: competence (Rule 3.1-2), confidentiality (Rule 3.3-1), and supervision of anyone or anything working under your name, including a tool. A lawyer who files an AI-hallucinated citation has a competence problem, not a technology problem. A lawyer who pastes client instructions into a public chatbot with no data-handling terms has a confidentiality problem, not a technology problem. The obligations were always there; AI just raises the stakes on getting them right.
That shift is no longer theoretical. Since January 2026, Legal Aid Ontario roster lawyers must annually confirm, on the Lawyer Self-Report, that they comply with LSO's AI guidance. AI literacy has moved from a personal-interest tech hobby to a standing professional-responsibility topic with a compliance checkbox attached to it. Most of what's published on legal AI is either vendor marketing dressed up as education or generic technology commentary that never touches a lawyer's actual duties. The Lawyer AI Academy exists to close that gap — free, practical, and written specifically for lawyers, not for engineers.
None of this requires you to become technical. The goal of the Academy is the opposite: to give a working lawyer enough grounding to ask a vendor the right questions, spot a hallucinated citation before it reaches a filing, and decide with confidence where AI belongs in a file and where it doesn't. Read what's useful, skip what isn't, and come back when the next module publishes.
The curriculum
Five modules, each publishing as a standalone lesson on the blog. Together they cover what a competent, confidentiality-conscious lawyer needs to know before adopting AI in a practice — and what to keep asking after adoption. The order is deliberate: fundamentals first, then obligations, then vendor scrutiny, then workflow, then the one area — trust money — where automation should never go all the way.
AI Fundamentals for Legal Practice
What large language models actually do under the hood, in plain terms; their characteristic failure modes — hallucination, staleness, and confident wrongness — and the categories of task where they are reliable versus where they need a skeptical human reader every time.
Your Professional Obligations
LSO guidance translated into daily practice: what competence (Rule 3.1-2) requires when a tool drafts for you, what confidentiality (Rule 3.3-1) requires before client information touches any AI system, how supervision duties extend to AI output, and when client consent considerations come into play.
Evaluating AI Vendors
The questions that actually matter when a vendor pitches you: is client data used to train models, how long is it retained before deletion, where is it physically processed, and precisely what the AI is permitted to do without a lawyer's approval before you sign anything.
AI in the Daily Workflow
A practical map of intake, drafting, deadline tracking, and document review — where automation genuinely returns hours to a practice, and where a human has to stay in the loop regardless of how capable the tool appears.
Trust Accounting & Automation Safety
Why moving client trust money should never be a fully automatable action, and what "hard ceilings" mean in practice — the design principle that some steps in a workflow must always stop and wait for a human decision, no matter how much of the surrounding process is automated.
How lessons arrive
Each lesson publishes as a post on the DROZlegal blog and is announced to the newsletter list as it goes live. Only this hub page and one curriculum exist today — the five modules above will publish over the coming weeks, and this page will link to each module as it does, so it's worth bookmarking rather than reading once and forgetting. There's no cost, no signup requirement to read the posts themselves, and no obligation attached to joining the newsletter beyond receiving the lessons as they release.
In the meantime, two related guides are already live and worth a read on their own: Best Clio Alternatives for Canadian Law Firms (2026), for firms evaluating practice-management options, and Clio vs DROZlegal: Feature by Feature (2026), a head-to-head look at where AI assists a workflow versus where it executes one. Both touch on the same themes this curriculum covers in more depth — what AI can responsibly do in a law practice, and where the line has to hold.