Data Driven Law
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| Author | : Edward J. Walters |
| Publisher | : CRC Press |
| Total Pages | : 286 |
| Release | : 2018-07-16 |
| Genre | : Computers |
| ISBN | : 0429892063 |
For increasingly data-savvy clients, lawyers can no longer give "it depends" answers rooted in anecdata. Clients insist that their lawyers justify their reasoning, and with more than a limited set of war stories. The considered judgment of an experienced lawyer is unquestionably valuable. However, on balance, clients would rather have the considered judgment of an experienced lawyer informed by the most relevant information required to answer their questions. Data-Driven Law: Data Analytics and the New Legal Services helps legal professionals meet the challenges posed by a data-driven approach to delivering legal services. Its chapters are written by leading experts who cover such topics as: Mining legal data Computational law Uncovering bias through the use of Big Data Quantifying the quality of legal services Data mining and decision-making Contract analytics and contract standards In addition to providing clients with data-based insight, legal firms can track a matter with data from beginning to end, from the marketing spend through to the type of matter, hours spent, billed, and collected, including metrics on profitability and success. Firms can organize and collect documents after a matter and even automate them for reuse. Data on marketing related to a matter can be an amazing source of insight about which practice areas are most profitable. Data-driven decision-making requires firms to think differently about their workflow. Most firms warehouse their files, never to be seen again after the matter closes. Running a data-driven firm requires lawyers and their teams to treat information about the work as part of the service, and to collect, standardize, and analyze matter data from cradle to grave. More than anything, using data in a law practice requires a different mindset about the value of this information. This book helps legal professionals to develop this data-driven mindset.
| Author | : Uta Kohl |
| Publisher | : Cambridge University Press |
| Total Pages | : 333 |
| Release | : 2021-07-29 |
| Genre | : Juvenile Nonfiction |
| ISBN | : 1108835694 |
This book critiques the use of algorithms to pre-empt personal choices in its profound effect on markets, democracy and the rule of law.
| Author | : Ryan Whalen |
| Publisher | : Edward Elgar Publishing |
| Total Pages | : 384 |
| Release | : 2020-09-25 |
| Genre | : Law |
| ISBN | : 1788977459 |
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.
| Author | : Sarah A. Sutherland |
| Publisher | : Routledge |
| Total Pages | : 152 |
| Release | : 2022-01-31 |
| Genre | : Law |
| ISBN | : 100053636X |
Legal Data and Information in Practice provides readers with an understanding of how to facilitate the acquisition, management, and use of legal data in organizations such as libraries, courts, governments, universities, and start-ups. Presenting a synthesis of information about legal data that will furnish readers with a thorough understanding of the topic, the book also explains why it is becoming crucial that data analysis be integrated into decision-making in the legal space. Legal organizations are looking at how to develop data-driven insights for a variety of purposes and it is, as Sutherland shows, vital that they have the necessary skills to facilitate this work. This book will assist in this endeavour by providing an international perspective on the issues affecting access to legal data and clearly describing methods of obtaining and evaluating it. Sutherland also incorporates advice about how to critically approach data analysis. Legal Data and Information in Practice will be essential reading for those in the law library community who are based in English-speaking countries with a common law tradition. The book will also be useful to those with a general interest in legal data, including students, academics engaged in the study of information science and law.
| Author | : Andrew Guthrie Ferguson |
| Publisher | : NYU Press |
| Total Pages | : 267 |
| Release | : 2019-11-15 |
| Genre | : Law |
| ISBN | : 147986997X |
Winner, 2018 Law & Legal Studies PROSE Award The consequences of big data and algorithm-driven policing and its impact on law enforcement In a high-tech command center in downtown Los Angeles, a digital map lights up with 911 calls, television monitors track breaking news stories, surveillance cameras sweep the streets, and rows of networked computers link analysts and police officers to a wealth of law enforcement intelligence. This is just a glimpse into a future where software predicts future crimes, algorithms generate virtual “most-wanted” lists, and databanks collect personal and biometric information. The Rise of Big Data Policing introduces the cutting-edge technology that is changing how the police do their jobs and shows why it is more important than ever that citizens understand the far-reaching consequences of big data surveillance as a law enforcement tool. Andrew Guthrie Ferguson reveals how these new technologies —viewed as race-neutral and objective—have been eagerly adopted by police departments hoping to distance themselves from claims of racial bias and unconstitutional practices. After a series of high-profile police shootings and federal investigations into systemic police misconduct, and in an era of law enforcement budget cutbacks, data-driven policing has been billed as a way to “turn the page” on racial bias. But behind the data are real people, and difficult questions remain about racial discrimination and the potential to distort constitutional protections. In this first book on big data policing, Ferguson offers an examination of how new technologies will alter the who, where, when and how we police. These new technologies also offer data-driven methods to improve police accountability and to remedy the underlying socio-economic risk factors that encourage crime. The Rise of Big Data Policing is a must read for anyone concerned with how technology will revolutionize law enforcement and its potential threat to the security, privacy, and constitutional rights of citizens. Read an excerpt and interview with Andrew Guthrie Ferguson in The Economist.
| Author | : Edward J. Walters |
| Publisher | : CRC Press |
| Total Pages | : 215 |
| Release | : 2018-07-16 |
| Genre | : Computers |
| ISBN | : 0429892071 |
For increasingly data-savvy clients, lawyers can no longer give "it depends" answers rooted in anecdata. Clients insist that their lawyers justify their reasoning, and with more than a limited set of war stories. The considered judgment of an experienced lawyer is unquestionably valuable. However, on balance, clients would rather have the considered judgment of an experienced lawyer informed by the most relevant information required to answer their questions. Data-Driven Law: Data Analytics and the New Legal Services helps legal professionals meet the challenges posed by a data-driven approach to delivering legal services. Its chapters are written by leading experts who cover such topics as: Mining legal data Computational law Uncovering bias through the use of Big Data Quantifying the quality of legal services Data mining and decision-making Contract analytics and contract standards In addition to providing clients with data-based insight, legal firms can track a matter with data from beginning to end, from the marketing spend through to the type of matter, hours spent, billed, and collected, including metrics on profitability and success. Firms can organize and collect documents after a matter and even automate them for reuse. Data on marketing related to a matter can be an amazing source of insight about which practice areas are most profitable. Data-driven decision-making requires firms to think differently about their workflow. Most firms warehouse their files, never to be seen again after the matter closes. Running a data-driven firm requires lawyers and their teams to treat information about the work as part of the service, and to collect, standardize, and analyze matter data from cradle to grave. More than anything, using data in a law practice requires a different mindset about the value of this information. This book helps legal professionals to develop this data-driven mindset.
| Author | : Markus D Dubber |
| Publisher | : OUP Oxford |
| Total Pages | : 1294 |
| Release | : 2014-11-27 |
| Genre | : Law |
| ISBN | : 0191654604 |
The Oxford Handbook of Criminal Law reflects the continued transformation of criminal law into a global discipline, providing scholars with a comprehensive international resource, a common point of entry into cutting edge contemporary research and a snapshot of the state and scope of the field. To this end, the Handbook takes a broad approach to its subject matter, disciplinarily, geographically, and systematically. Its contributors include current and future research leaders representing a variety of legal systems, methodologies, areas of expertise, and research agendas. The Handbook is divided into four parts: Approaches & Methods (I), Systems & Methods (II), Aspects & Issues (III), and Contexts & Comparisons (IV). Part I includes essays exploring various methodological approaches to criminal law (such as criminology, feminist studies, and history). Part II provides an overview of systems or models of criminal law, laying the foundation for further inquiry into specific conceptions of criminal law as well as for comparative analysis (such as Islamic, Marxist, and military law). Part III covers the three aspects of the penal process: the definition of norms and principles of liability (substantive criminal law), along with a less detailed treatment of the imposition of norms (criminal procedure) and the infliction of sanctions (prison law). Contributors consider the basic topics traditionally addressed in scholarship on the general and special parts of the substantive criminal law (such as jurisdiction, mens rea, justifications, and excuses). Part IV places criminal law in context, both domestically and transnationally, by exploring the contrasts between criminal law and other species of law and state power and by investigating criminal law's place in the projects of comparative law, transnational, and international law.
| Author | : Mireille Hildebrandt |
| Publisher | : Edward Elgar Publishing |
| Total Pages | : 295 |
| Release | : 2020-01-31 |
| Genre | : Law |
| ISBN | : 1788972007 |
This ground-breaking and timely book explores how big data, artificial intelligence and algorithms are creating new types of agency, and the impact that this is having on our lives and the rule of law. Addressing the issues in a thoughtful, cross-disciplinary manner, leading scholars in law, philosophy, computer science and politics examine the ways in which data-driven agency is transforming democratic practices and the meaning of individual choice.
| Author | : Maria Wasastjerna |
| Publisher | : Kluwer Law International B.V. |
| Total Pages | : 416 |
| Release | : 2020-07-16 |
| Genre | : Law |
| ISBN | : 9403522240 |
Increasingly, we conduct our lives online, and in doing so, we grant access to our personal information. The crucial feedstock of the world economy thus generated - the commercialization and exploitation of personal data and the intrusion of digital privacy it entails - has built an imposing edifice of market power. As we enter the third decade of the 21st century, this detailed exploration of the interlinkage between competition and data privacy takes a critical look at competition policy to evaluate whether the system in its current form and with the existing approach is capable of tackling the challenges raised by the role of personal data in the shift from an offline to an online economy. Challenging the commonplace assumption that privacy has little or no role and relevance in competition law, the author’s penetrating analysis accomplishes the following and more: provides an in-depth understanding of the intersection of competition and privacy in the data-driven economy; surveys legal policy developments on the role of privacy in competition law; underlines the importance of non-price parameters in competition, such as consumer choice; clearly explains why and how competition law can protect privacy among its policy objectives; and addresses challenges in measuring the intangible harm of digital privacy violation in assessing abuse of market power. Recent case law in Europe and elsewhere, a revealing comparison between relevant European Union (EU) and United States (US) practice, the expanded role of the EU’s Competition Commissioner, and the likely impact of such phenomena as the coronavirus pandemic are all drawn into the book’s remit. In her analysis of the growing privacy dimension in competition policy, the author examines the topic from a broad perspective that includes societal, political, economic, historical and cultural elements. Her insightful multidimensional and value-based review will prove of immeasurable value to practitioners, academics, policymakers and enforcers in its identification of implications for business practice as we go forward.
| Author | : Vanessa Mak |
| Publisher | : Edward Elgar Publishing |
| Total Pages | : 499 |
| Release | : 2018-12-28 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 1788111303 |
The use of data in society has seen an exponential growth in recent years. Data science, the field of research concerned with understanding and analyzing data, aims to find ways to operationalize data so that it can be beneficially used in society, for example in health applications, urban governance or smart household devices. The legal questions that accompany the rise of new, data-driven technologies however are underexplored. This book is the first volume that seeks to map the legal implications of the emergence of data science. It discusses the possibilities and limitations imposed by the current legal framework, considers whether regulation is needed to respond to problems raised by data science, and which ethical problems occur in relation to the use of data. It also considers the emergence of Data Science and Law as a new legal discipline.
