Computational Legal Studies

Computational Legal Studies
Author: Ryan Whalen
Publisher: Edward Elgar Publishing
Total Pages: 384
Release: 2020-09-25
Genre: Law
ISBN: 1788977459
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Featuring contributions from a diverse set of experts, this thought-provoking book offers a visionary introduction to the computational turn in law and the resulting emergence of the computational legal studies field. It explores how computational data creation, collection, and analysis techniques are transforming the way in which we comprehend and study the law, and the implications that this has for the future of legal studies.

The Emergence of Computational Legal Studies

The Emergence of Computational Legal Studies
Author: Ryan Whalen
Publisher:
Total Pages: 6
Release: 2020
Genre:
ISBN:
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This volume arrives at an important inflection point in the relationship between law and computation. Technological, scientific, and methodological developments are increasingly allowing computation to provide not just efficiencies in the traditional ways we practice or study the law, but new perspectives on the law and potential paradigmatic shifts in how we think about and understand it. These developments have already been major factors in the recent evolution of many other academic fields, as evidenced for example by the rise of computational social science, computational biology, the digital humanities, and many more emerged and still-emerging subdisciplines. Although law has perhaps lagged somewhat behind its peer disciplines in adopting and adapting computational research methods, that has begun to change in recent years as more-and-more legal scholars have begun applying computational methods in the course of their research. This volume explores this emergence of computational legal studies by presenting a variety of research that is either representative of, or in conversation with, the field.

Legal Informatics

Legal Informatics
Author: Daniel Martin Katz
Publisher: Cambridge University Press
Total Pages: 525
Release: 2021-02-18
Genre: Business & Economics
ISBN: 1107142725
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This cutting-edge volume offers a theoretical and applied introduction to the emerging legal technology and informatics industry.

Law as Data

Law as Data
Author: Michael A. Livermore
Publisher: Seminar
Total Pages: 528
Release: 2018-12
Genre: Law
ISBN: 9781947864139
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In recent years, the digitization of legal texts and developments in the fields of statistics, computer science, and data analytics have opened entirely new approaches to the study of law. This volume explores the new field of computational legal analysis, an approach marked by its use of legal texts as data. The emphasis herein is work that pushes methodological boundaries, either by using new tools to study longstanding questions within legal studies or by identifying new questions in response to developments in data availability and analysis. By using the text and underlying data of legal documents as the direct objects of quantitative statistical analysis, Law as Data introduces the legal world to the broad range of computational tools already proving themselves relevant to law scholarship and practice, and highlights the early steps in what promises to be an exciting new approach to studying the law.

Privacy, Due Process and the Computational Turn

Privacy, Due Process and the Computational Turn
Author: Mireille Hildebrandt
Publisher: Routledge
Total Pages: 266
Release: 2013-06-03
Genre: Computers
ISBN: 1134619154
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Privacy, Due process and the Computational Turn: The Philosophy of Law Meets the Philosophy of Technology engages with the rapidly developing computational aspects of our world including data mining, behavioural advertising, iGovernment, profiling for intelligence, customer relationship management, smart search engines, personalized news feeds, and so on in order to consider their implications for the assumptions on which our legal framework has been built. The contributions to this volume focus on the issue of privacy, which is often equated with data privacy and data security, location privacy, anonymity, pseudonymity, unobservability, and unlinkability. Here, however, the extent to which predictive and other types of data analytics operate in ways that may or may not violate privacy is rigorously taken up, both technologically and legally, in order to open up new possibilities for considering, and contesting, how we are increasingly being correlated and categorizedin relationship with due process – the right to contest how the profiling systems are categorizing and deciding about us.

Computational Models of Argument

Computational Models of Argument
Author: H. Prakken
Publisher: IOS Press
Total Pages: 498
Release: 2020-09-25
Genre: Computers
ISBN: 1643681079
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The investigation of computational models of argument is a rich and fascinating interdisciplinary research field with two ultimate aims: the theoretical goal of understanding argumentation as a cognitive phenomenon by modeling it in computer programs, and the practical goal of supporting the development of computer-based systems able to engage in argumentation-related activities with human users or among themselves. The biennial International Conferences on Computational Models of Argument (COMMA) provide a dedicated forum for the presentation and discussion of the latest advancements in the field, and cover both basic research and innovative applications. This book presents the proceedings of COMMA 2020. Due to the Covid-19 pandemic, COMMA 2020 was held as an online event on the originally scheduled dates of 8 -11 September 2020, organised by the University of Perugia, Italy. The book includes 28 full papers and 13 short papers selected from a total of 78 submissions, the abstracts of 3 invited talks and 13 demonstration abstracts. The interdisciplinary nature of the field is reflected, and contributions cover both theory and practice. Theoretical contributions include new formal models, the study of formal or computational properties of models, designs for implemented systems and experimental research. Practical papers include applications to medicine, law and criminal investigation, chatbots and online product reviews. The argument-mining trend from previous COMMA’s is continued, while an emerging trend this year is the use of argumentation for explainable AI. The book provided an overview of the latest work on computational models of argument, and will be of interest to all those working in the field.

Artificial Intelligence, Computational Modelling and Criminal Proceedings

Artificial Intelligence, Computational Modelling and Criminal Proceedings
Author: Serena Quattrocolo
Publisher: Springer Nature
Total Pages: 230
Release: 2020-08-27
Genre: Law
ISBN: 3030524701
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This book discusses issues relating to the application of AI and computational modelling in criminal proceedings from a European perspective. Part one provides a definition of the topics. Rather than focusing on policing or prevention of crime – largely tackled by recent literature – it explores ways in which AI can affect the investigation and adjudication of crime. There are two main areas of application: the first is evidence gathering, which is addressed in Part two. This section examines how traditional evidentiary law is affected by both new ways of investigation – based on automated processes (often using machine learning) – and new kinds of evidence, automatically generated by AI instruments. Drawing on the comprehensive case law of the European Court of Human Rights, it also presents reflections on the reliability and, ultimately, the admissibility of such evidence. Part three investigates the second application area: judicial decision-making, providing an unbiased review of the meaning, benefits, and possible long-term effects of ‘predictive justice’ in the criminal field. It highlights the prediction of both violent behaviour, or recidivism, and future court decisions, based on precedents. Touching on the foundations of common law and civil law traditions, the book offers insights into the usefulness of ‘prediction’ in criminal proceedings.

The Oxford Handbook of Empirical Legal Research

The Oxford Handbook of Empirical Legal Research
Author: Peter Cane
Publisher: OUP Oxford
Total Pages: 1112
Release: 2012-05-17
Genre: Law
ISBN: 019163543X
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The empirical study of law, legal systems and legal institutions is widely viewed as one of the most exciting and important intellectual developments in the modern history of legal research. Motivated by a conviction that legal phenomena can and should be understood not only in normative terms but also as social practices of political, economic and ethical significance, empirical legal researchers have used quantitative and qualitative methods to illuminate many aspects of law's meaning, operation and impact. In the 43 chapters of The Oxford Handbook of Empirical Legal Research leading scholars provide accessible and original discussions of the history, aims and methods of empirical research about law, as well as its achievements and potential. The Handbook has three parts. The first deals with the development and institutional context of empirical legal research. The second - and largest - part consists of critical accounts of empirical research on many aspects of the legal world - on criminal law, civil law, public law, regulatory law and international law; on lawyers, judicial institutions, legal procedures and evidence; and on legal pluralism and the public understanding of law. The third part introduces readers to the methods of empirical research, and its place in the law school curriculum.

Legal Knowledge and Information Systems

Legal Knowledge and Information Systems
Author: M. Araszkiewicz
Publisher: IOS Press
Total Pages: 274
Release: 2019-12-19
Genre: Computers
ISBN: 1643680498
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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.

Artificial Intelligence and Legal Analytics

Artificial Intelligence and Legal Analytics
Author: Kevin D. Ashley
Publisher: Cambridge University Press
Total Pages: 451
Release: 2017-07-10
Genre: Computers
ISBN: 1107171504
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This book describes how text analytics and computational models of legal reasoning will improve legal IR and let computers help humans solve legal problems.