Courts face two digital-evidence risks: accepting fabricated material and rejecting authentic material because someone labels it fake.
New Canadian Judicial Council guidance addresses both.
Released October 20, the materials include updated guidelines for judicial AI use and separate guidance on evaluating digital media evidence. They are guidance documents, rather than legislation or a new evidentiary rule. Canadian Lawyer: October 20 release coverage.
Judicial responsibility and evidence guidance
The judicial-use guidelines preserve personal responsibility for judicial decisions and distinguish appropriate assistance from delegating decision-making. They also call for institutional transparency about court AI systems, their purposes and safeguards. CJC: judicial AI guidelines (PDF).
The digital-evidence guidance provides checklists for acknowledged, unacknowledged and indirect AI use. It cautions that a commercial detection tool’s output is an analytical aid, not a definitive determination of authenticity. CJC: judicial AI guidelines (PDF).
For litigators, the practical implications begin with evidence preservation. Original files, information about their creation and a reliable chain of custody may become important when authenticity is challenged.
Authenticity and proportionate scrutiny
A party relying on AI-assisted material should also be prepared to explain what was done to it. Enhancement, analysis and generation can raise different questions; the description should fit the actual process.
The guidance also identifies an access-to-justice problem. Self-represented and economically disadvantaged litigants may lack funds for forensic experts, while unsupported manipulation allegations can consume disproportionate resources. CJC: digital media evidence guidance (PDF).
That creates a difficult procedural task: investigate a credible concern without allowing a speculative accusation to overwhelm the proceeding.
Institutional transparency matters
Counsel can help by identifying the specific feature said to be unreliable, the evidence supporting that concern and a proportionate method of examining it.
The institutional transparency discussion requires similar precision. The guidelines distinguish appropriate assistance used by an individual judge from the court’s responsibility to explain the systems it deploys.
The central message is accountable use: judges retain judgment, and evidence still requires a grounded assessment.
The possibility of a deepfake is a reason to examine evidence carefully, not to abandon confidence in evidence altogether.
Related coverage: OpenAI and Meta Warn Judicial Panel About Deepfake Evidence · Florida Lawyer’s Bar Referral Shows Why AI Review Must Go Beyond Citations.
Sources: CJC: judicial AI guidelines (PDF) · CJC: digital media evidence guidance (PDF) · Canadian Lawyer: October 20 release coverage .