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.