000044435 000__ 04126cam\a2200445\i\4500 000044435 001__ 44435 000044435 003__ SzGeWIPO 000044435 005__ 20240711150725.0 000044435 006__ m\\\\eo\\d\\\\\\\\ 000044435 007__ cr bn |||m|||a 000044435 008__ 211015s2021\\\\mau\\\\\o\\\\\001\0\eng\d 000044435 020__ $$a9781788972826$$qeBook 000044435 020__ $$z9781788972819$$qPrint 000044435 035__ $$aeep9781788972826 000044435 035__ $$a(OCoLC)1252387786 000044435 040__ $$aSzGeWIPO$$beng$$erda$$cSzGeWIPO$$dCaBNVSL 000044435 041__ $$aeng 000044435 042__ $$apcc 000044435 043__ $$ae------ 000044435 050_4 $$aK564$$b.C6 2021 000044435 08204 $$a342.0858 000044435 1001_ $$aVogl, Roland.$$eEditor. 000044435 24500 $$aResearch Handbook on Big Data Law 000044435 264_1 $$a[Northampton, England] :$$bEdward Elgar Publishing Ltd.,$$c2021. 000044435 300__ $$a544 pages. 000044435 336__ $$atext$$2rdacontent 000044435 337__ $$acomputer$$2rdamedia 000044435 338__ $$aonline resource$$bcr$$2rdacarrier 000044435 4901_ $$aResearch Handbooks in Intellectual Property series 000044435 500__ $$aIncludes index. 000044435 5050_ $$aIntroduction to the Research Handbook on Big Data Law -- 1. The accuracy, equity, and jurisprudence of criminal risk assessment -- 2. The many faces of facial recognition -- 3. Artificially intelligent government: A review and agenda -- 4. Big data and copyright law -- 5. Big data analytics, online terms of service and privacy policies -- 6. Data analytics and tax law -- 7. Experience of big data anti-corruption in China -- 8. Machine learning and law: An overview -- 9. SCOTUS outcome prediction: A new machine learning approach -- 10. Legal information retrieval -- 11. LexNLP: Natural language processing and information extraction for legal and regulatory texts -- 12. Quantitative legal research in Germany -- 13. Big data analytics for e-discovery -- 14. Generalizability: Machine learning and humans-in-the-loop -- 15. The VICTOR Project: Applying artificial intelligence to Brazil’s Supreme Federal Court -- 16. Explainable artificial intelligence -- 17. Explainability and transparency of machine learning in ADM systems -- 18. Certifying artificial intelligence systems -- 19. Rules, cases and arguments in artificial intelligence and law -- 20. Artificial intelligence and the zealous litigator -- 21. Evaluating legal services: The need for a quality movement and standard measures of quality and value -- 22. Machine learning and EU data-sharing practices: Legal aspects of machine learning training datasets for AI systems -- 23. AI-driven contract review: A product development journey -- 24. Practical guide to artificial intelligence and contract review -- 25. Legal marketplaces using machine learning techniques -- Index 000044435 520__ $$aThis state-of-the-art Research Handbook provides an overview of research into, and the scope of current thinking in, the field of big data analytics and the law. It contains a wealth of information to survey the issues surrounding big data analytics in legal settings, as well as legal issues concerning the application of big data techniques in different domains. Featuring contributions from a variety of expert scholars, this is an interdisciplinary dialogue addressing big data analytics, tools and techniques and the societal impact of the field. Chapters analyze both cases anchored in a particular legal system (such as anti-corruption in China) and big data law approaches relevant across multiple practice areas: including machine learning within law, legal information retrieval, natural language processing and e-discovery. It also offers original insights from industry project reports that use big data law techniques in interesting, new ways. Providing a unique and interdisciplinary blend of analysis, this Research Handbook will be a key resource for legal scholars and students researching in areas such as criminal, tax, copyright and administrative law. It will also prove useful for practicing lawyers wanting to get a sense of the legal practice of the future, as well as law-makers thinking about the use of big data law techniques in government policy.$$cProvided by publisher. 000044435 588__ $$aDescription based on print record. 000044435 650_0 $$aInnovation and Technology. 000044435 650_0 $$aIntellectual Property. 000044435 650_0 $$aLaw$$zAcademic$$zResearch Methods. 000044435 650_0 $$aInternational Commercial Law. 000044435 655_0 $$aElectronic Books. 000044435 85641 $$uhttps://www.elgaronline.com/view/edcoll/9781788972819/9781788972819.xml?rskey=EHrFID&result=1$$yView eBook 000044435 904__ $$aBook 000044435 930__ $$aResearch Handbooks in Intellectual Property series 000044435 980__ $$aOS