Available from our eBook collection, freely available to NYLI members.
Compiled by Lucy Curci-Gonzalez
Edward J. Walter
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.
Tomorrow’s Lawyers predicts that we are at the beginning of a period of fundamental transformation in law: a time in which we will see greater change than we have seen in the past two centuries. Where the future of the legal service will be a world of internet-based global businesses, online document production, commoditized service, legal process outsourcing, and web based simulation practice. Legal markets will be liberalized, with new jobs for lawyersand new employers too. This book is a definitive guide to this future – for young and aspiring lawyers, and for all who want to modernize our legal and justice systems.
Nigel M. de Cameron
Technology writer and think-tank director Nigel Cameron argues it’s naive to believe we face a smooth transition. Whether or not there are “new” jobs, we face massive disruption as the jobs millions of us are doing get outsourced to machines. A twenty-first-century “rust belt” will rapidly corrode the labor market and affect literally hundreds of different kinds of jobs simultaneously. Robots won’t design our future – we will. Yet shockingly, political leaders and policy makers don’t seem to have this in their line of sight. So how should we assess and prepare for the risks of this unknown future?
Unstructured Data Analytics : How to Improve Customer Acquisition, Customer Retention, and Fraud Detection and Prevention
Jean-Paul Isson and Minha Hwang
Turn unstructured data into valuable business insight Unstructured Data Analytics provides an accessible, non-technical introduction to the analysis of unstructured data. Written by global experts in the analytics space, this book presents unstructured data analysis (UDA) concepts in a practical way, highlighting the broad scope of applications across industries, companies, and business functions. The discussion covers key aspects of UDA implementation, beginning with an explanation of the data and the information it provides, then moving into a holistic framework for implementation.