Legal Knowledge Based Systems

This book compiles the experience of the largest project in knowledge-based systems and the law yet undertaken. It provides an in-depth introduction to representation of law in computer programs, as well as more advanced discussion and description of large knowledge-based systems building, legal representation, cooperative work, and interface design in the context of the project. Describes the world's largest KBS and law project Contains an authoritative survey of approaches to legal knowledge representation Outlines several prototype systems Discusses the integration of KBS and law issues with HCI and social implications

Papers presented at JURIX '96 conference held on December 13, 1996 in Tilburg, The Netherlands.

In recent years, the application of machine learning tools to legally relevant tasks has become much more prevalent, and the growing influence of AI in the legal sphere has prompted the profession to take more of an interest in the explainability, trustworthiness, and responsibility of intelligent systems. This book presents the proceedings of the 32nd International Conference on Legal Knowledge and Information Systems (JURIX 2019), held in Madrid, Spain, from 11 to 13 December 2019. Traditionally focused on legal knowledge representation and engineering, computational models of legal reasoning, and analyses of legal data, more recently the conference has also encompassed the use of machine learning tools. A total of 81 submissions were received for the conference, of which 14 were selected as full papers and 17 as short papers. A further 3 submissions were accepted as demo presentations, resulting in a total acceptance rate of 41.98%, with a competitive 25.5% acceptance rate for full papers. The 34 papers presented here cover a broad range of topics, from computational models of legal argumentation, case-based reasoning, legal ontologies, and evidential reasoning, through classification of different types of text in legal documents and comparing similarities, to the relevance of judicial decisions to issues of governmental transparency. The book will be of interest to all those whose work involves the use of knowledge and information systems in the legal sphere.

This volume contains the proceedings of the seventeenth Jurix conference on Legal Knowledge and Information Systems (Jurix 2004), which was held at the Harnack Haus of the Max Planck Society, in Berlin, Germany. Although the Jurix conference moved from The Netherlands to Germany, almost half of the papers are from The Netherlands. Except for a paper from Canada, the others are from 5 other countries in Western Europe. The effort to extend Jurix beyond The Netherlands and establish it as the leading European conference on legal knowledge systems is making progress. The papers in this publication focus on the topics of legal knowledge management and information retrieval; legal knowledge acquisition using natural language processing; legal ontologies; case-based reasoning; reasoning about evidence and legal reasoning support.

The range of topics addressed in this volume is broader than in previous JURIX volumes. All the main legal functions are covered: legal drafting, legal negotiating, legal decision making and legal argumentation.

Expert systems are computer systems that engage in legal reasoning by assisting general legal practitioners in solving legal problems beyond their range of knowledge or expertise. This book is a comprehensive investigation of expert systems in law. Susskind uses jurisprudence throughout the book to articulate the presuppositions and limitations of building such systems, and to provide sound practical guidance for their design.