Canadian Courts: Deepfake Evidence Poses Authenticity Challenge

• Canadian courts are expected to face a rise in deepfake evidence and accusations that real evidence is fake, following earlier issues with AI-hallucinated citations.
• Legal experts warn that Canada's current legal framework for evidence authenticity is not prepared for the rapid advancement of AI-generated manipulations.
• While no civil deepfake rulings exist in Canada, a California court dismissed a case last year due to suspected AI-altered evidence, highlighting the potential for judicial detection.
• The Canada Evidence Act, despite a 2000 amendment for electronic evidence, presumes authenticity if stored by a properly operating system, a presumption challenged by sophisticated deepfakes.
• Generative AI significantly increases the ease, speed, and sophistication of creating manipulated evidence, pressuring existing legal tools and requiring new strategies for authenticating or challenging digital evidence.

The risk, she asserts, is advancing at a pace far exceeding the development of relevant case law.

Canadian legal professionals are increasingly anticipating a surge in deepfake evidence within the nation's courts, alongside a rise in accusations that legitimate evidence is, in fact, fabricated. This concern follows a precedent set in early 2024, when a British Columbia court identified a lawyer's reliance on AI-generated case citations, an issue that has since emerged in hundreds of cases across Canada. Deepfakes, defined as digital evidence created or manipulated using artificial intelligence, are now seen as the next significant AI-related challenge poised to impact Canadian litigation in the coming years.

Legal experts express apprehension that Canada's existing framework for assessing the authenticity of evidence is not adequately equipped to handle this rapidly evolving threat. Emily Hazlett, a partner at Blake, Cassels & Graydon LLP specializing in class action defence, notes that while there have been few reported deepfake cases in Canada to date, those that have surfaced are primarily criminal matters involving the "deepfake defence"—where genuine evidence is alleged to be artificial. However, Hazlett cautions against complacency, emphasizing that the absence of reported cases does not offer "false comfort," as successful deepfakes inherently go undetected. The risk, she asserts, is advancing at a pace far exceeding the development of relevant case law.

The current Canadian legal landscape relies on a diverse set of tools to evaluate the authenticity digital evidence Canada. This includes a combination of federal and provincial statutes, such as the Canada Evidence Act—which was updated in 2000 to incorporate provisions for electronic evidence—along with established case law, civil procedure rules, professional obligations, and judicial practice directions. However, both Hazlett and Kelly Friedman, a litigator at Heuristica focusing on e-discovery, privacy, and data breach issues, contend that the advent of AI places considerable strain on these existing mechanisms. Friedman specifically highlights the limitations of the Canada Evidence Act deepfakes, noting that it, like many provincial counterparts, presumes electronic evidence to be authentic and accurate if it was stored by a system operating correctly. This presumption becomes problematic when facing sophisticated AI-generated evidence Canada litigation.

Despite the growing concern, Canadian civil courts have yet to issue any reported rulings addressing the attempted use of deepfake evidence. In contrast, a significant case emerged south of the border last year. A California trial court dismissed the case of Ariel and Maridol Mendones v. Cushman & Wakefield, Inc. after suspecting that the plaintiffs had submitted evidence—including screenshots, audio, and video testimony—that had been created or altered by AI. The court's suspicions were partly triggered by irregularities in the video quality, specifically depicting individuals who spoke and moved their faces with minimal expressiveness. Hazlett points out that while the court successfully identified these "red flags," the primary concern is that future advancements in deepfake technology will render such tell-tale signs undetectable, making it increasingly difficult to challenge deepfake evidence Canadian courts.

The rapid evolution of AI-generated evidence poses critical implications for litigation deepfake risks in Canada, demanding a proactive approach from legal professionals. While courts have historically dealt with forged or manipulated evidence, generative AI fundamentally alters the landscape by dramatically increasing the ease, speed, and potential sophistication with which such evidence can be produced. This shift underscores the urgent need for lawyers and compliance officers to develop robust strategies for authenticating digital evidence Canada, and for rigorously challenging deepfake evidence Canadian courts.

The core challenge lies in the fact that current evidence law, as articulated by Friedman, does not align with the advanced technological capabilities now available to manipulate or create virtually any form of digital content. This disparity necessitates a re-evaluation of how digital evidence is presented, reviewed, and contested. Without updated legal frameworks and enhanced judicial scrutiny, there is a significant risk of fraudulent evidence influencing legal outcomes or, conversely, legitimate evidence being falsely accused of fabrication. The ability to effectively challenge deepfake evidence Canada will depend on developing new methods for evidence review, potentially incorporating expert testimony, and adapting procedural challenges to mitigate these emerging risks.

Lawyers and compliance officers in Canada must anticipate the increasing prevalence of deepfake evidence in litigation and be prepared to rigorously challenge or authenticate digital evidence, as current legal frameworks like the Canada Evidence Act are not adequately equipped to address these advanced AI-generated manipulations. This necessitates developing new strategies for evidence review, expert testimony, and procedural challenges to mitigate risks of fraudulent evidence or false accusations of fabrication.

Source: Original reporting via legal industry insights