Decoding the Court: Legal Data Insights from the Supreme Court of Canada - Softcover

Softcover

ISBN 10: 1032245271 ISBN 13: 9781032245270

Publisher: Routledge, 2025

Synopsis

This edited collection combines state-of-the-art legal data analytics with in-depth doctrinal analysis to study the Supreme Court of Canada (SCC), Canada’s top court. A data analytics perspective adds new dimensions to the study of courts and their case law. It renders legal analysis scalable, making it possible to investigate thousands of judicial decisions, adding new breadth and depth. It also enables researchers to combine doctrinal questions about how the law evolves with institutional questions about how courts operate, shedding new light on how law works in practice. By applying a range of methods to study the content of SCC decisions, this work bridges the gap between qualitative and quantitative research. Demonstrating how new analytical perspectives can generate new insights about the Supreme Court, an institution which is closely studied by scholars both within and outside Canada, the book will be essential reading for legal scholars and political scientists, particularly those working in public law and in empirical legal studies.

The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.

About this title

About the Author

Wolfgang Alschner is Associate Professor at the University of Ottawa, where he leads the Legal Technology Lab.

Vanessa MacDonnell is Associate Professor at the University of Ottawa Faculty of Law and Co-Director of the uOttawa Public Law Centre.

Carissima Mathen is a Full Professor at the University of Ottawa Faculty of Law, Canada.

Edition details

• Publisher: Routledge
• Publication date: 2025
• Language: English
• ISBN 10: 1032245271
• ISBN 13: 9781032245270
• Binding: Paperback
• Edition number: 1
• Number of pages: 158
• Editor: Alschner Wolfgang, MacDonnell Vanessa, Mathen Carissima