Legal
AI
Toronto
Legal AI adoption is accelerating across law firms, in-house teams, and legal operations functions, but most pilots still struggle to deliver repeatable, enterprise-wide value.
Legal AI Toronto brings the profession together to examine what is working now, and what the next frontier will require.
Confirm your place by
September30, 2026, and save CAD
$200 with code
TORONTOAI.
100+
AI-FOCUSED FIRMS
30
EXPERT SPEAKERS
6
CORE THEMES
1 day
Intensive Format
ADOPTION / EDUCATION / VALUE / GOVERNANCE / TECHNOLOGY / ROI
Join us October 27, 2026 for Legal AI Toronto
AI is moving from a technology initiative to an operating issue for the Canadian legal profession.
The early conversation centered on tools and experimentation. The decisions facing firms now are broader: how AI changes legal work, where it can create new forms of client value, what lawyers need to learn, and how investment should be directed across an increasingly crowded technology market.
No single team can answer those questions alone. Firm leadership, innovation, knowledge, legal operations, risk and practicing lawyers all have a role in deciding how AI is introduced, governed and measured. Together, they must protect privilege and client information, maintain professional judgment, manage costs and suppliers, and prepare people for continued change.
Legal AI Toronto brings those perspectives into the same room.
Across one day, the agenda examines Canada’s AI strategy, firm-wide adoption, education and professional development, AI-enabled legal services, data governance, technology portfolio decisions, return on investment and the leadership choices that will shape the profession’s next phase.
Confirm your place and join your peers.
Six Core Themes
What We're Examining
From adoption and governance to pricing, workflows, and knowledge infrastructure, these are the issues shaping how legal organizations move from experimentation to operational impact with AI.
01 / 06
Scaling AI Adoption: From Pilot to Enterprise
AI interest is high, but turning experimentation into measurable business value remains the central challenge. Explore how legal organizations are moving from isolated pilots to governed, repeatable deployment across teams.
How are legal organizations achieving measurable ROI at scale?
02 / 06
AI Governance & Risk: Building Trust at Scale
As legal teams expand their use of AI, governance is becoming a practical business requirement rather than a theoretical concern. We will examine policy design, approval models, risk controls, client expectations, and how teams are creating confidence without slowing progress.
Governance is no longer optional. It is a prerequisite for trust.
03 / 06
The Client–Firm AI Divide: Expectations, Transparency, Trust
Clients increasingly expect clarity on how AI is used, where value is created, and how risks are being managed. This theme looks at communication, pricing pressure, transparency, and the standards clients now expect from outside counsel and internal legal teams.
Clients want proof of AI impact, not promises.
04 / 06
Knowledge Management as AI Infrastructure
AI performance depends on the quality, structure, and accessibility of legal knowledge. This session focuses on precedents, taxonomy, document hygiene, and the role of KM as the foundation for better outputs and stronger adoption.
What happens when AI performance is directly tied to knowledge architecture?
05 / 06
The Economics of AI: Productivity, Profitability & Pricing
AI is changing the economics of legal work, from lawyer productivity to pricing models and margin assumptions. We will explore how firms and legal departments are thinking about efficiency, profitability, value-based pricing, and competitive positioning.
How should legal organizations rethink pricing and value in an AI-shaped market?
06 / 06
Practical Workflows: From Drafting to Agentic AI
The market is moving from copilots toward more structured, workflow-based and agentic use cases. This session looks at practical applications across drafting, review, research, internal operations, and cross-functional legal work.
Where are the most useful AI workflows emerging right now?
EXPERT VOICES
Speaking Faculty
Practitioners, founders, and researchers defining the new legal landscape.
We will be announcing our full faculty in the coming weeks.

Naïm Antaki
Partner, Co-leader, Canadian Artificial Intelligence Group
Gowling WLG
Early Exploration
AI STRATEGY
NATIONAL POLICY

Jessica Syms
Assistant Vice-President & Corporate Secretary
CN
Early Exploration
AI STRATEGY
NATIONAL POLICY

Renee Smith
Director, Legal Business Solutions
PwC Canada
Early Exploration
AI STRATEGY
NATIONAL POLICY

Tania Djerrahian
Senior Director, Innovation and Knowledge Management
Davies
Scaling/Adoption
Workflow & Efficiency
KM/INNOVATION
OPS & FINANCE

Joe Marando
Legal Innovation Partner
Harvey
EARLY EXPLORATION
WORKFORCE
PRACTICING LAWYERS
KM/INNOVATION
LEADERSHIP

Jessica Rubin
Director, Practice Efficiency & Innovation
Miller Thompson
EARLY EXPLORATION
WORKFORCE
PRACTICING LAWYERS
KM/INNOVATION
LEADERSHIP

Sienna Molu
Founder & Principal Lawyer
Molu Law
EARLY EXPLORATION
WORKFORCE
PRACTICING LAWYERS
KM/INNOVATION
LEADERSHIP

Carmen Bruni
AI Adoption Lead, Legal Operations
Osler, Hoskin & Harcourt LLP
EARLY EXPLORATION
WORKFORCE
PRACTICING LAWYERS
KM/INNOVATION
LEADERSHIP
Sarah Chan
National Director, Innovation & Strategic Operations
McMillan
SCALING/ADOPTION
DATA-DRIVEN SERVICES
CLIENT VALUE
SERVICE INNOVATION
LEADERSHIP
OPS & FINANCE

Victor Dudas
Director, Practice Efficiency & Innovation
McMillan
SCALING/ADOPTION
DATA-DRIVEN SERVICES
CLIENT VALUE
LEADERSHIP
OPS & FINANCE
SERVICE INNOVATION

Su Hutchinson
Chief Operating Officer
JFK Law
SCALING/ADOPTION
DATA GOVERNANCE & RISK
PRIVILEGE & CONFIDENTIALITY
INFORMATION SECURITY
RISK & GOVERNANCE

Dany Guimond-Valcourt
Technology, Cybersecurity and Privacy Lawyer
LCM Attorneys
SCALING/ADOPTION
DATA GOVERNANCE & RISK
PRIVILEGE & CONFIDENTIALITY
INFORMATION SECURITY
RISK & GOVERNANCE

Eugene A. G. Cipparone
Associate General Counsel
Goodmans
AI ADOPTION & CHANGE
ADVANCED/STRATEGIC
AI STRATEGY
LEADERSHIP
OPS & FINANCE

David Marshall
Partner
Jensen Shawa Solomon Duguid Hawkes LLP
AI ADOPTION & CHANGE
ADVANCED/STRATEGIC
AI STRATEGY
LEADERSHIP
OPS & FINANCE

Laura Levine
Partner, Innovation and Artificial Intelligence
BLG
AI ADOPTION & CHANGE
ADVANCED/STRATEGIC
AI STRATEGY
LEADERSHIP
OPS & FINANCE

JF Denis
Senior Director, Knowledge & Innovation
Cain Lamarre
AI ADOPTION & CHANGE
SCALING/ADOPTION
VENDOR STRATEGY
KM/INNOVATION
LEGAL TECH ECOSYSTEM
KPIS & MEASUREMENT

Jessica Caplan Ross
Director, Legal Operations and Client Solutions
Lenczner Slaght
Investment & ROI
Competitive Advantage
ADVANCED/STRATEGIC
AI STRATEGY
FIRM LEADERSHIP

Adam Wells
Senior Vice President, Strategy
McCarthy Tétrault LLP
Investment & ROI
Competitive Advantage
ADVANCED/STRATEGIC
AI STRATEGY
FIRM LEADERSHIP
Expert Voices
Build Your Day
Filter sessions by topic and type.
Canada’s new AI for All strategy is expected to accelerate AI adoption across industries, increasing demand for legal guidance on AI governance, privacy, compliance, intellectual property, and risk management. As organizations implement AI tools, lawyers will play a key role in helping clients navigate evolving regulations and establish responsible AI practices.
The strategy’s focus on trust, safety, and sovereignty is also likely to drive new legislation around privacy, deepfakes, and AI accountability. This creates opportunities for law firms to advise clients on compliance while also adopting AI internally to improve efficiency, legal research, and client service.
During this discussion, Law Firm leaders will discuss their thoughts on the potential impact of the new strategy and how they are preparing to ensure they achieve their organizational goals.
Artificial intelligence is no longer a future consideration for law firms, it is actively reshaping how legal professionals research, draft, analyze, and deliver client service. As firms invest heavily in AI technologies, the challenge has shifted from implementation to adoption, optimization, and long-term value creation.
This session will explore practical strategies for increasing AI adoption among attorneys and professional staff, managing organizational change, and identifying opportunities to streamline workflows and improve efficiency.
Attendees will learn how to measure and maximize the return on AI investments while avoiding common pitfalls such as technology fatigue and AI burnout. Through real-world examples and actionable insights, participants will gain a framework for building an AI-enabled legal workforce that embraces innovation while maintaining productivity, engagement, and profitability.
As artificial intelligence reshapes the legal industry, the firms that succeed will be those that invest in continuous learning and professional development. From educating supervisors and senior attorneys to training junior associates and summer apprentices, firms must build a culture where AI is viewed as a tool that enhances legal expertise, not a substitute for it. This session explores how law firms can develop AI curricula, strengthen foundational legal skills, and prepare the next generation of lawyers to thrive in an AI-enabled profession.
Clients have always wanted faster answers and sharper advice, and AI is changing how law firms deliver both. By freeing lawyers from information assembly, AI lets them focus on what clients value most: judgment, strategy, and the relationship itself. At the same time, it is opening the door to categories of service that simply were not viable before, from large-scale document review to portfolio-wide contract analysis to helping clients understand and act on their own data. This session explores what it means for clients when a firm can not only do its core work better, but reimagine what legal service can include.
As law firms accelerate AI adoption, effective data governance has become a business-critical responsibility. This session will explore how firms can align their AI and data strategies to ensure sensitive information remains secure, client confidentiality is protected, and legal privilege is maintained. Attendees will examine key questions around data ownership, storage, access controls, and stakeholder accountability while learning how governance frameworks can support innovation without increasing risk.
The discussion will also focus on practical approaches to establishing guardrails, communicating governance policies to lawyers and staff, and creating processes that minimize the risk of privilege loss or unauthorized data exposure. Through real-world examples and best practices, participants will gain insights into balancing AI-driven efficiency with the ethical, regulatory, and client expectations that define the legal profession.
As artificial intelligence continues to evolve at an unprecedented pace, law firms face a critical challenge: how to embrace innovation without losing sight of strategic objectives, operational control, and the human expertise that drives client service. This session will explore practical approaches for managing rapid AI-driven change while ensuring technology investments align with firm goals, enhance efficiency, and create measurable value for clients.
Panelists will discuss how firms can identify new opportunities made possible by AI, streamline legal and business processes, leverage data and dashboards to better understand client expectations, and navigate the rising costs associated with AI technologies. The conversation will also emphasize a people-first approach, examining how firms can preserve and transfer valuable institutional knowledge, support employee development, and ensure that AI serves as an enhancement—not a replacement—for professional expertise.
This session will examine how firms are managing increasingly complex technology portfolios. Panelists will discuss approaches to product selection, governance, vendor management, overlapping functionality, and portfolio rationalization. The discussion will explore how firms decide where to invest, which tools to standardize, and how to prevent technology sprawl while continuing to encourage innovation. Attendees will leave with practical frameworks for evaluating legal technology investments, aligning tools with firm priorities, and building a sustainable ecosystem that evolves as the market continues to change.
The legal industry is entering a period of unprecedented transformation, driven by rapid advances in artificial intelligence, evolving client expectations, and increasing pressure to deliver greater value. As firms continue to invest in emerging technologies, leaders must make strategic decisions that balance innovation with operational realities. This executive panel will explore how firms are evaluating AI investments, measuring return on investment, and identifying opportunities to improve efficiency, strengthen client service, and maintain a competitive edge in a crowded marketplace.
Looking beyond today's challenges, panelists will discuss what law firms should prioritize over the next 3–9 months versus the next 3–5 years. Topics will include talent acquisition and staffing strategies, effective communication approaches that avoid change fatigue, the environmental considerations surrounding AI adoption, and the leadership practices required to navigate continual disruption. Attendees will gain practical insights into how industry leaders are planning for the future while positioning their firms for sustained growth and success.
Confirm your place by 09.30.26
Save CAD $200 use code TORONTOAI
Registration Options
Law Firm /
Legal Services
Registration
- Full Conference Pass
- Networking Access
- Community Membership
CAD 995
In-house /
Legal Operations
Registration
- Full Conference Pass
- Networking Access
- Community Membership
CAD 795
Solution Providers
Registration
- Full Conference Pass
- Networking Access
- Community Membership
CAD 1,495
Team, student, and nonprofit rates are available.
Contact: Have questions or need assistance with the registration process?
Please contact us: contact@insidepractice.com
Secure Your Place
Join us at Legal AI Toronto
A focused one-day conference for law firm leaders, Chief Innovation Officers, legal ops directors, KM heads, and in-house counsel - the practical playbook for operationalizing AI with governance, economics, and the client imperative at the center.
Enterprise AI Case Studies
AI deployment journeys, governance frameworks, and ROI measurement approaches.
Live Platform Demonstrations
Hands-on time with today's leading AI and Legal Tech solution providers
AI Governance & Regulatory Briefing
Practical sessions on governance, procurement, responsible use, and evolving client expectations across legal organizations.
Inside Practice Research Pack
Full legal AI market analysis delivered pre-event; session recordings and resource library post-event.
Peer Roundtables
Structured discussions by firm size, AI maturity level, and practice area focus, designed to surface the real challenges and proven solutions.
EVENT DETAILS
📅 October 27, 2026
📍 Gowling WLG, 100 King St W Suite 1600, Toronto, ON M5X 1G5
👥 100+ Legal Leaders, Innovators & AI Practitioners
🎫 Law Firm, In-House, and Vendor passes available
Register Your Interest
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