Where LAW meets machine intelligence
Legal professionals across Canada are navigating a shift that no law school covered. These seminars address what that shift actually looks like in practice — not in theory.
What participants found after attending
Three practitioners describe specific changes in how they work — not outcomes guaranteed to anyone.
"Before the seminar I was using AI tools without any framework for when to trust them. The session on hallucination risk in legal citation was the most practically useful thing I'd heard in years."
Previously: manually verifying every AI-generated citation after the fact, with no systematic approach.
"I came in sceptical. The contract review module showed me exactly where AI tools fail on ambiguous indemnity clauses — which is precisely where I needed human judgment anyway."
Previously: blanket avoidance of AI tools due to uncertainty about reliability thresholds.
"The professional responsibility module addressed something that bar associations haven't caught up to yet — what disclosure obligations exist when AI tools contribute to a legal submission."
Previously: no clear internal policy on AI use in submissions; now has a documented review protocol.
When this FORMAT works — and when it probably doesn't
These seminars are built around structured discussion and peer exchange. That format produces real results for some practitioners and is the wrong fit for others.
"AI might replace lawyers — so why invest in LEARNING it?"
This concern comes up in nearly every intake conversation. It deserves a direct answer, not reassurance.
The evidence so far suggests that AI tools are changing the economics of specific legal tasks — document review, initial research drafts, clause spotting — rather than eliminating the profession. Lawyers who understand where those tools are unreliable are in a stronger position to supervise their output and maintain professional responsibility. This seminar does not argue that AI is harmless or that adaptation is optional. It examines what the current tools actually do, where they fail, and what that means for practice.
Three seminar tracks currently available
Each track is a self-contained program. Participants choose one based on their practice area and current familiarity with AI tools.
Research and Citation Integrity
Covers how large language models generate legal citations, where fabrication occurs, and what verification workflows reduce risk without doubling research time.
Foundational
Contract Review and Risk Flagging
Examines AI contract analysis tools across commercial, employment, and real estate contexts. Focuses on the clause types where automated flagging is least reliable.
IntermediateThe people who built and deliver this program
Called to the bar in Ontario in 2009, Adaeze practised commercial litigation for eleven years before moving into legal technology consulting. She has advised law firms on AI procurement decisions and testified before a provincial bar committee on professional responsibility standards for AI-assisted submissions. She designed the curriculum for this seminar series starting in 2024.
Scale that speaks without INFLATING anything
These figures reflect the program as it stands — not projections.