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Introduction to the special issue on legal text analytics

Introduction to the special issue on legal text analytics Artif Intell Law (2018) 26:99–102 https://doi.org/10.1007/s10506-018-9227-z 1 2 Jack G. Conrad L. Karl Branting Published online: 2 May 2018 Springer Science+Business Media B.V., part of Springer Nature 2018 1 Introduction Recent developments in large-scale storage capabilities and related advances in legal data analytics have created unprecedented tools for identifying patterns—such as statistical, semantic, citation-based, and temporal structure—in large legal data repositories. These developments are leading to new insights into both the interconnections among authoritative legal texts and the behavior of courts, legislatures, lawyers, and other legal professionals. Historically, Artificial Intelligence and Law conferences like the ICAIL (International Conference on Artificial Intelligence and Law) series sponsored by the IAAIL (International Association for Artificial Intelligence and Law) have focused more on argumentation and inference than on empirical and corpora-based approaches to legal analysis and problem solving. However, the rapid growth in new data-centric techniques has opened the door to dramatically new algorithmic approaches for legal problem solving and analysis. This special issue of the AI and Law journal presents four papers that exemplify these recent trends. Initial versions of all but one of these papers were presented at https://www.iaail.org (Accessed: 13 April 2018). & Jack G. Conrad jack.g.conrad@thomsonreuters.com L. Karl Branting http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Artificial Intelligence and Law Springer Journals

Introduction to the special issue on legal text analytics

Artificial Intelligence and Law , Volume 26 (2) – May 2, 2018

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Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer Science+Business Media B.V., part of Springer Nature
Subject
Computer Science; Artificial Intelligence (incl. Robotics); International IT and Media Law, Intellectual Property Law; Philosophy of Law; Legal Aspects of Computing; Information Storage and Retrieval
ISSN
0924-8463
eISSN
1572-8382
DOI
10.1007/s10506-018-9227-z
Publisher site
See Article on Publisher Site

Abstract

Artif Intell Law (2018) 26:99–102 https://doi.org/10.1007/s10506-018-9227-z 1 2 Jack G. Conrad L. Karl Branting Published online: 2 May 2018 Springer Science+Business Media B.V., part of Springer Nature 2018 1 Introduction Recent developments in large-scale storage capabilities and related advances in legal data analytics have created unprecedented tools for identifying patterns—such as statistical, semantic, citation-based, and temporal structure—in large legal data repositories. These developments are leading to new insights into both the interconnections among authoritative legal texts and the behavior of courts, legislatures, lawyers, and other legal professionals. Historically, Artificial Intelligence and Law conferences like the ICAIL (International Conference on Artificial Intelligence and Law) series sponsored by the IAAIL (International Association for Artificial Intelligence and Law) have focused more on argumentation and inference than on empirical and corpora-based approaches to legal analysis and problem solving. However, the rapid growth in new data-centric techniques has opened the door to dramatically new algorithmic approaches for legal problem solving and analysis. This special issue of the AI and Law journal presents four papers that exemplify these recent trends. Initial versions of all but one of these papers were presented at https://www.iaail.org (Accessed: 13 April 2018). & Jack G. Conrad jack.g.conrad@thomsonreuters.com L. Karl Branting

Journal

Artificial Intelligence and LawSpringer Journals

Published: May 2, 2018

References