Research Handbook on Big Data Law

This state-of-the-art Research Handbook provides an overview of research into, and the scope of current thinking in, the field of big data analytics and the law. It contains a wealth of information to survey the issues surrounding big data analytics in legal settings, as well as legal issues concerning the application of big data techniques in different domains. Featuring contributions from expert scholars, this is an interdisciplinary dialogue addressing big data analytics, tools, and techniques, and the societal impact of the field. Chapters analyze both cases anchored in a particular legal system and big data law approaches relevant across multiple practice areas, including machine learning within law, legal information retrieval, natural language processing, and e-discovery. It also offers original insights from industry project reports that use big data law techniques in interesting, new ways. Providing a unique and interdisciplinary blend of analysis, this Research Handbook will be a key resource for legal scholars and students researching in areas such as criminal, tax, copyright, and administrative law. It will also prove useful for practicing lawyers wanting to get a sense of the legal practice of the future, as well as law-makers thinking about the use of big data law techniques in government policy.

Format: Hardback
Length: 544 pages
Publication date: 14 May 2021
Publisher: Edward Elgar Publishing Ltd

This cutting-edge Research Handbook offers a comprehensive overview of research into and the state of current thinking in the field of big data analytics and the law. It serves as a valuable resource for surveying the multifaceted issues surrounding big data analytics in legal contexts, as well as the legal implications of employing big data techniques across various domains. Comprising contributions from a diverse array of esteemed expert scholars, this interdisciplinary discourse engages with the realm of big data analytics, tools, and techniques, while also delving into their societal impact. The chapters present a comprehensive analysis, encompassing both case studies focused on specific legal systems (such as anti-corruption in China) and broader legal approaches applicable across multiple practice areas, including machine learning within law, legal information retrieval, natural language processing, and e-discovery. Furthermore, the Handbook includes original insights derived from industry project reports that showcase innovative applications of big data law techniques in captivating and novel ways.

By providing a unique and interdisciplinary fusion of analysis, this Research Handbook emerges as a pivotal resource for legal scholars and students engaged in research in fields such as criminal, tax, copyright, and administrative law. It also holds significant value for practicing lawyers seeking to gain a deeper understanding of the evolving legal landscape, as well as law-makers contemplating the integration of big data law techniques into government policy.

Dimension: 244 x 169 (mm)
ISBN-13: 9781788972819