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

Innovative Perspectives on Judicial Analysis and Court Operations

Carissima Mathen editor Wolfgang Alschner editor Vanessa MacDonnell editor

Format:Hardback

Publisher:Taylor & Francis Ltd

Published:30th May '24

Currently unavailable, and unfortunately no date known when it will be back

Decoding the Court: Legal Data Insights from the Supreme Court of Canada cover

This collection offers a unique fusion of data analytics and legal analysis, providing fresh insights into the Supreme Court of Canada, making it a vital resource for scholars.

This edited collection combines advanced legal data analytics with thorough doctrinal analysis to explore the Supreme Court of Canada (SCC), the country's highest court. By integrating a data analytics perspective, Decoding the Court: Legal Data Insights from the Supreme Court of Canada adds new dimensions to the study of judicial systems and their case law. This approach allows for scalable legal analysis, enabling the examination of thousands of judicial decisions and thus enhancing both breadth and depth of research.

The book also facilitates a unique intersection of doctrinal inquiries regarding legal evolution and institutional questions about court operations. This dual focus sheds fresh light on the practical workings of law. By employing a variety of methods to analyze the content of SCC decisions, Decoding the Court effectively bridges qualitative and quantitative research methodologies. The insights derived from these analyses provide a deeper understanding of the Supreme Court, a key institution extensively studied by scholars in Canada and beyond.

Essential reading for legal scholars and political scientists, particularly those engaged in public law and empirical legal studies, this collection demonstrates how innovative analytical perspectives can yield new insights into the functioning of the Supreme Court. Additionally, the Open Access version of this book is available under a Creative Commons license, making it widely accessible for further research and exploration.

ISBN: 9781032245256

Dimensions: unknown

Weight: 450g

150 pages