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Full Product Details

Author:   Kevin D. Ashley (University of Pittsburgh)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Dimensions:   Width: 15.10cm , Height: 2.00cm , Length: 22.60cm
Weight:   0.710kg
ISBN:  

9781316622810

ISBN 10:   1316622819
Pages:   446
Publication Date:   10 July 2017
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock  
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Table of Contents

Part I. Computational Models of Legal Reasoning: 1. Introducing AI and Law and its role in future legal practice; 2. Modeling statutory reasoning; 3. Modeling case-based legal reasoning; 4. Models for predicting legal outcomes; 5. Computational models of legal argument; Part II. Legal Text Analytics: 6. Representing legal concepts in ontologies and type systems; 7. Making legal informational retrieval smarter; 8. Machine learning with legal texts; 9. Extracting information from statutory and regulatory texts; 10. Extracting argument-related information from legal case texts; Part III. Connecting Computational Reasoning Models and Legal Texts: 11. Conceptual legal information retrieval for cognitive computing; 12. Cognitive computing legal apps.

Reviews

'In relation to the composition of this book, it provides a comprehensive and user-friendly description of this interdisciplinary area, focusing on the suitability of developing legal devices based on artificial intelligence. The structure of the work allows users to analyse how representation of legal logic knowledge occurs, and its suitability for computational implementations ... On this matter, the author provides relevant and understandable illustrations that facilitate the linkage between theory and the development of the techno legal implementations. ... Artificial Intelligence and Legal Analytics: New Tools for Law Practice in the Digital Age is a fundamental work for those of us who are interested in the intersection between intelligent technology and the legal field, and its promising future.' Jesus Manuel Niebla Zatarain, SCRIPTed

'In relation to the composition of this book, it provides a comprehensive and user-friendly description of this interdisciplinary area, focusing on the suitability of developing legal devices based on artificial intelligence. The structure of the work allows users to analyse how representation of legal logic knowledge occurs, and its suitability for computational implementations ... On this matter, the author provides relevant and understandable illustrations that facilitate the linkage between theory and the development of the techno legal implementations. ... Artificial Intelligence and Legal Analytics: New Tools for Law Practice in the Digital Age is a fundamental work for those of us who are interested in the intersection between intelligent technology and the legal field, and its promising future.' Jesus Manuel Niebla Zatarain, SCRIPTed 'In relation to the composition of this book, it provides a comprehensive and user-friendly description of this interdisciplinary area, focusing on the suitability of developing legal devices based on artificial intelligence. The structure of the work allows users to analyse how representation of legal logic knowledge occurs, and its suitability for computational implementations ... On this matter, the author provides relevant and understandable illustrations that facilitate the linkage between theory and the development of the techno legal implementations. ... Artificial Intelligence and Legal Analytics: New Tools for Law Practice in the Digital Age is a fundamental work for those of us who are interested in the intersection between intelligent technology and the legal field, and its promising future.' Jesus Manuel Niebla Zatarain, SCRIPTed

Author Information

Kevin Ashley is a Professor of Law and Intelligent Systems at the University of Pittsburgh, Senior Scientist, Learning Research and Development Center, and Adjunct Professor of Computer Science. He received a B.A. from Princeton University, New Jersey, a J.D. from Harvard Law School, Massachusetts and a Ph.D. in computer science from the University of Massachusetts. A visiting scientist at the IBM Thomas J. Watson Research Center, New York, NSF Presidential Young Investigator and Fellow of the American Association for Artificial Intelligence, he is co-Editor-in-Chief of Artificial Intelligence and Law and teaches in the University of Bologna Erasmus Mundus doctoral program in Law, Science and Technology.

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