Title: Artificial intelligence and legal analytics : new tools for law practice in the digital age /
Authors: Ashley, K. D.
Year: 2017
Subjects: Information storage and retrieval systems Law United States.; Law United States Methodology; Artificial intelligence; Information technology; Technology and law.; Legal ethics.; Law offices Automation.; Practice of law Automation.
Abstract: "The field of artificial intelligence (AI) and the law is on the cusp of a revolution that began with text analytic programs like IBM's Watson and Debater and the open-source information management architectures on which they are based. Today, new legal applications are beginning to appear, and this book - designed to explain computational processes to non-programmers - describes how they will change the practice of law, specifically by connecting computational models of legal reasoning directly with legal text, generating arguments for and against particular outcomes, predicting outcomes, and explaining these predictions with reasons that legal professionals will be able to evaluate for themselves. These legal apps will support conceptual legal information retrieval and enable cognitive computing, enabling a collaboration between humans and computers in which each performs the kinds of intelligent activities that they can do best. Anyone interested in how AI is changing the practice of law should read this illuminating work." -- Publisher description.
Contents: Introducing AI & Law and Its Role in Future Legal Practice Modeling Statutory Reasoning -- Modeling Case-based Legal Reasoning -- Models for Predicting Legal Outcomes -- Computational Models of Legal Argument -- Representing Legal Concepts in Ontologies and Type Systems -- Making Legal Information Retrieval Smarter -- Machine Learning with Legal Texts -- Extracting Information from Statutory and Regulatory Texts -- Extracting Argument-Related Information from Legal Case Texts -- Conceptual Legal Information Retrieval for Cognitive Computing -- Cognitive Computing Legal Apps.