In this episode of Runnymede Radio, we feature an original interview with Professor Norman Siebrasse (University of New Brunswick).

Professor Siebrasse discusses his recent study using artificial intelligence to examine long-term trends in Supreme Court of Canada decisions. By analyzing thousands of judgments from 1974 to 2025, the study places cases on a rules–standards spectrum and identifies a marked shift toward more standard-like reasoning beginning in the early Charter era. The conversation also explores the idea of “Charter contagion,” the relationship between increasingly lengthy decisions and declining rule-likeness, and the broader promise and limits of AI in legal and academic research.

This episode offers a careful examination of artificial intelligence as a research tool and of the evolving character of Supreme Court reasoning in Canada.

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