Less Guidance on Fair Dealing and TPMs?

Why It Matters

The ruling underscores that Canadian courts will not issue declaratory relief without a live controversy, limiting legal certainty for entities relying on fair‑dealing defenses. It also signals uncertainty for AI developers seeking to justify training data use under copyright law.

Key Takeaways

• Federal Court of Appeal voided fair‑dealing and TPM declarations.
• Declarations lacked practical utility after plaintiff discontinued lawsuit.
• Ruling highlights procedural prerequisites for binding judicial declarations.
• Future Canadian courts may still adopt underlying reasoning on TPMs.
• Implications for AI training data fair‑use defenses in Canada.

Pulse Analysis

The appellate decision pivots on a procedural cornerstone: a declaration must resolve a "live controversy" to possess practical utility. Citing the Supreme Court of Canada’s Daniels precedent, the Federal Court of Appeal emphasized that once Blacklock withdrew its infringement claim, the dispute evaporated, stripping the declarations of any enforceable effect. This procedural bar reshapes how litigants approach declaratory relief in copyright matters, urging parties to preserve an active controversy or seek alternative remedies before courts consider issuing binding statements.

Beyond procedure, the case revives the substantive tension between Canada’s fair‑dealing exception and technological protection measures (TPMs). While the lower court had suggested that a licit password does not constitute TPM circumvention, the appellate court sidestepped that analysis, leaving the legal landscape unsettled. For AI developers, this ambiguity matters because U.S. courts have begun tying fair‑use defenses to the lawful acquisition of training copies. Canadian practitioners must therefore monitor how future judgments interpret the intersection of fair dealing, TPMs, and AI‑training data, as any doctrinal shift could redefine permissible data‑scraping practices.

Practically, the ruling advises counsel to fortify copyright risk strategies with clear licensing agreements rather than relying on uncertain fair‑dealing arguments. Companies should also consider procedural safeguards—maintaining active disputes or seeking reference proceedings under the Federal Courts Act—to ensure any declaratory relief remains enforceable. As legislative bodies contemplate modernizing the Copyright Act for AI, stakeholders should stay engaged, recognizing that the current judicial climate offers limited certainty and that future appellate guidance will be pivotal for shaping compliant AI training pipelines.