Wolfgang Alschner & Vanessa MacDonnell & Carissima Mathen
Language: English
Civil law Common law Law Supreme Court of Canada apex courts citation networks comparative constitutional law computational legal studies digital humanities dissenting opinion empirical analysis judicial analytics leave applications legal data analytics legal text mining majority opinion natural language processing network analysis qualitative analysis quantitative analysis separation of powers
Publisher: Taylor & Francis
Published: May 30, 2024
Description:
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.