Overview
For AI innovators, strong privacy and data governance practices are critical to fostering confidence among customers, investors, and regulators. In this interactive session, Torys will share how to navigate this complex and evolving legal landscape and develop best-practice policies and frameworks for AI governance.
Who Should Attend
- Entrepreneurs building AI ventures
- SR Ecosystem members developing AI platforms and applications
- Organizations investing in the AI space
Key Takeaways
Building trust is critical to the successful commercialization of AI. This session will explore privacy, data governance and regulatory compliance strategies that help to mitigate risk and seize opportunities presented by the creation, scaling and operation of AI companies and products.
Attendees will gain practical insights into how effective governance frameworks can enable innovation, how to safeguard data used in the creation of AI models, and how to build privacy strategies that align with their core business values.
You’ll leave with answers to questions like:
- How are privacy and AI regulated in Canada?
- How can businesses leverage privacy and data governance to help build and protect value?
- What are the primary risks I need to be aware of?
- How can I train, test, and improve models while limiting my risk?
- How can I set a strong data governance foundation now, so it isn’t an obstacle later?
Lunch will be served. Spaces are limited.
Speakers
Molly Reynolds, Partner
Molly is a leader in privacy, cybersecurity and data governance across digital innovation and AI. She advises clients on AI development and procurement, technology risk assessments, bias testing, anticipating human rights and discrimination issues, compliance with sector-specific automated decision making and use of AI laws, supply chain risk, contractual terms and on Board of Directors’ oversight of AI. Molly supports clients in assessing AI-enhanced detection and response tools and preparing for AI-driven attacks. She also provides clients with frameworks to inventory, cleanse, and de-identify data to support compliant model training, analytics and personalized marketing—ensuring clients manage and capitalize on their data in a way that respects privacy laws, fosters cybersecurity, builds on responsible AI principles, and promotes trust in the organization’s brand. Year-over-year, Molly is nationally ranked as a leading lawyer in privacy, data protection and data security.
Nic Wall, Senior Associate
Nic helps clients navigate the nuanced privacy and cybersecurity issues presented by AI and emerging technologies. He is recognised as “one-to-watch” on a year-over-year basis due to his regular advice to clients on AI risk and governance, data rights and protection, commercial transactions, legal reforms, and incident preparedness and response. Nic also represents clients in regulatory complaints and investigations, administrative proceedings, and civil litigation.
Event Details
Date: November 25, 2026
Time: 11:30 AM – 1:00 PM
Location: Schwartz Reisman Innovation Campus
Register
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