Data Driven Law

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.

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.

This book critiques the use of algorithms to pre-empt personal choices in its profound effect on markets, democracy and the rule of law.

Like so many other professions, law is becoming increasingly influenced by an overwhelming amount of disparate, fragmented and complex data that can both help and hinder business. Data comes from a wealth of different sources, both internal and external, constantly changing, never still. Keeping control of all that data is one challenge; leveraging it to the greater good much harder. Despite the huge amount of data in the average law firm, data-driven decision-making is relatively new and uncharted. With the hugely disruptive changes that have occurred in our ways of working over the last two years, the issue of data is now front and centre. This second edition of Building the Data-Driven Law Firm looks at how the use of data has become inextricably linked with the practice of law; how it can be utilized to the good, and the safeguards that must be put in place to mitigate the bad; how Big Data will revolutionize the way lawyers work, and the cases they will work on; and how new uses for data (including blockchain and the Internet of Things) will influence the law firm of the future. Bringing the book bang up to date, new content features how we can keep data secure in the changing world of work, how data can be used for business development and client satisfaction, the implications of data bias and data theft, and whether the way we use data is even useful anymore.

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.

Mary Juetten's second book, The Business of Legal: The Data-Driven Law Practice, draws from her business, accounting, and consulting background to provide advice for lawyers looking to improve their firms. Again written in plain English, with simple case studies, Juetten creates a roadmap for attorneys and other legal technicians use data and process to drive change. In fact, any professional who works with clients can use the approach to create a data-driven successful practice. The Business of Legal explains how lawyers can collect data; analyze processes; and implement change; all required to compete and succeed in today's challenging market. This case study applies to firms of almost all sizes and in any country. From goal setting to identifying problems, the book follows a firm that is trying to improve their new client development process. Juetten explores the client-centric requirement of all services and professions today as an integral part of the successful law practice today. The topics include not only data and profitability but also how to evaluate clients for an ideal financial fit and firm cash management. Accounting principles and the need for tracking time are explored to maximize the impact of that important data. A second case study reviews some of the unique challenges faced by solo who are just starting their firms. Compensation and how a firm should keep track or score of data and metrics are also included. While the laws may differ, the core of business and management is universal. Juetten's book is not just for tech-savvy lawyers. In fact, learn the concepts in this book before trying to solve your problems with technology.

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.

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.