{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:28:04Z","timestamp":1740202084411,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"abstract":"<jats:p>The potential of AI &amp;amp; law methods in law has been not properly used. Thus, too many traditional lawyers consider this branch of legal science as irrelevant, at least for the time being. A promising way out may be legal data analysis. The goal of legal data science is to complement the existing methodology of law with the new computer-based methods, and to bring it in a theoretical framework. In previous research, we have developed the 8 views\/8 methods\/4 syntheses approach of legal data analysis. The need is evident considering that a textual representation is insufficient for today's needs of the legal profession. Legal data science should provide a razor sharp tool for the analysis of the legal system. In this paper, we will focus on the man\/machine delivery of the desired products of legal knowledge representation using AI &amp;amp; law methods. The options of knowledge can be systemized as follows: Besides the text (multimedia) corpus, 7 other views are now required: metadata, citation network, user view, logic view, ontological view, visualisation view and argumentation view. Further, lawyers like a synthesis of the views in a practice-oriented form: commentary or manual, Dynamic Electronic Legal Commentary (DynELC), citizen information system and case-based synthesis. At present, a lot of this analysis is done manually but the lack of sufficient resources becomes more and more evident.<\/jats:p>","DOI":"10.3233\/978-1-61499-609-5-191","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:27:05Z","timestamp":1740133625000},"source":"Crossref","is-referenced-by-count":0,"title":["The Role of AI &amp;amp; Law in Legal Data Science"],"prefix":"10.3233","author":[{"family":"Schweighofer Erich","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Legal Knowledge and Information Systems"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T11:33:41Z","timestamp":1740137621000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-608-8&spage=191&doi=10.3233\/978-1-61499-609-5-191"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-609-5-191","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2015]]}}}