Professor Dr. Tom van Engers and Professor Dr. Radboud Winkels, both of Leibniz Center for Law of the University of Amsterdam, have published The Leibniz Center for Law, 7 SCRIPTed 402-405 (2010) (Issue No. 2). Here is a summary:
The Leibniz Center conducts research and provides education in the field of Artificial Intelligence (AI) and law. In our research we focus on the development and application of techniques from AI to the field of law for the purposes of supporting legal practice and bringing new insights to legal theory. By building computational models of legal reasoning we work in the tradition of Leibniz, developing and using a formal “lingua universalis” and mechanic reasoning procedures providing us with reliable trustworthy results.
The Leibniz Center for Law has longstanding experience on legal ontologies, automatic legal reasoning, legal knowledge-based systems, (standard) languages for representing legal knowledge and information, user-friendly disclosure of legal data, and the application of ICT in education and legal practice. It plays an important role in the development of eGovernance on both national and international levels. The centre provides advice on change-management issues of knowledge-intensive legal processes and the improvement of knowledge-productivity in legal organisations.
The Leibniz Center for Law has participated in many national and international projects for applied research, in which companies, governments and universities cooperate (cf. CLIME, E-POWER, eCOURT, Legal Services Counter). It was the initiator of the CEN MetaLex initiative, an XML interchange-format and standard for legal documents. The Center was recently coordinating partner for two EU-financed projects: TRIAS and ESTRELLA. In TRIAS we developed modular electronic teaching material on e-government for civil servants using i.e. a semantic wiki. ESTRELLA was aimed at developing a formal legal knowledge interchange format (LKIF) for exchanging legal knowledge using semantic web technology. Currently we are running a national science foundation project called AGILE, targeted at the development of a design method, distributed service architecture, and support tools that enable organisations to better govern their legislation and regulation based information services within in a networked environment. Furthermore we are a partner in the FP7 project IMPACT on computational models of argumentation about policy issues. In this project we aim at applying natural language processing techniques (NLP) to multi-threaded dialogues about policies. We aim at (semi) automatic argument reconstruction, using both syntactic and semantic features of the participants’ natural language expressions. [footnotes omitted]