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ARTICLE · 27 APRIL 2026

US v Heppner’s Lessons For Canada: AI Use, Confidentiality And IP Exposure

Bennett Jones LLP
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This AI Insights Quick Read series examines a growing risk for innovation-driven businesses: how routine generative AI use can weaken confidentiality, compromise legal review...

CanadaTechnology
Lorelei Graham
Lorelei Graham
Ahmed Elmallah
Ahmed Elmallah
Benjamin Reingold
Benjamin Reingold
Stephen D. Burns
Stephen D. Burns
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AI Insights and Fast Reads

This AI Insights Quick Read series examines a growing risk for innovation-driven businesses: how routine generative AI use can weaken confidentiality, compromise legal review, and erode the value of intellectual property. Across four short pieces, we consider the issue through the lens of US v. Heppner, then turn to shadow AI, the dilution of innovation through AI-generated content and the implications for Canadian organizations.

Lessons for Canada

The first three pieces in this series focused on the core mechanics of AI-related IP risk, namely disclosure, unmanaged use and the dilution of innovation through superficial review. For Canadian organizations, preserving control over confidential know-how remains the central issue

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