As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
The potential of AI & 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 & 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.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.