case predictiondistributed ledger technologydocument reviewlegal informaticsnatural language processing
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Abstract (AI)
This groundbreaking work offers a first-of-its-kind overview of legal informatics, the academic discipline underlying the technological transformation and economics of the legal industry. Edited by Daniel Martin Katz, Ron Dolin, and Michael J. Bommarito, and featuring contributions from more than two dozen academic and industry experts, chapters cover the history and principles of legal informatics and background technical concepts – including natural language processing and distributed ledger technology. The volume also presents real-world case studies that offer important insights into document review, due diligence, compliance, case prediction, billing, negotiation and settlement, contracting, patent management, legal research, and online dispute resolution. Written for both technical and non-technical readers, Legal Informatics is the ideal resource for anyone interested in identifying, understanding, and executing opportunities in this exciting field.
Key Findings
1
Chapters explain foundational technical concepts relevant to law, including natural language processing and distributed ledger technology.
2
Edited by leading experts and featuring contributions from over two dozen academics and industry practitioners, the work targets both technical and non-technical readers as a practical resource for identifying and executing opportunities in legal informatics.
3
The book includes real-world case studies demonstrating applications in document review, due diligence, compliance, case prediction, billing, negotiation and settlement, contracting, patent management, legal research, and online dispute resolution.
4
This volume provides the first comprehensive overview of legal informatics as an academic discipline driving legal industry technology and economics.
Research Object
The field of legal informatics (the academic discipline concerning the technological transformation and economics of the legal industry)
Research Subject
Overview and synthesis of history, principles, background technical concepts (e.g., NLP, distributed ledger), and real-world applications/case studies across document review, due diligence, compliance, case prediction, contracting, patent management, legal research, online dispute resolution, and related legal-industry transformations
Publication Details
Publication Date
2021-02-04
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