{"id":34635,"date":"2026-03-04T00:05:44","date_gmt":"2026-03-04T07:05:44","guid":{"rendered":"https:\/\/runnymedesociety.ca\/?p=34635"},"modified":"2026-03-02T18:30:51","modified_gmt":"2026-03-03T01:30:51","slug":"measuring-jurisprudence-with-ai-rules-standards-and-the-supreme-court-of-canada","status":"publish","type":"post","link":"https:\/\/runnymedesociety.ca\/fr\/measuring-jurisprudence-with-ai-rules-standards-and-the-supreme-court-of-canada\/","title":{"rendered":"Measuring Jurisprudence with AI: Rules, Standards, and the Supreme Court of Canada"},"content":{"rendered":"

In this episode of Runnymede Radio, we feature an original interview with Professor Norman Siebrasse (University of New Brunswick).<\/span><\/p>\n

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\u2013standards spectrum and identifies a marked shift toward more standard-like reasoning beginning in the early Charter era. The conversation also explores the idea of \u201cCharter contagion,\u201d the relationship between increasingly lengthy decisions and declining rule-likeness, and the broader promise and limits of AI in legal and academic research.<\/span><\/p>\n

This episode offers a careful examination of artificial intelligence as a research tool and of the evolving character of Supreme Court reasoning in Canada.<\/span><\/p>\n