Technology vis-à-vis law. Research in the area of law representation

The paper develops Richard Susskind’s theses on the disruptive role of IT in law and the potential effects on AI research in this area. In pursue of this aim some arguments regarding the importance of technology in law are presented as well as the research directions undertaken in the AI and Law research field.W opracowaniu rozwinięto tezę Richarda Susskinda o rewolucyjnej roli technologii informacyjnej w prawie i o potencjale badań nad sztuczną inteligencją w tym zakresie. W tym celu zaprezentowane zostały niektóre argumenty dotyczące roli technologii w prawie oraz zaprezentowane kierunki badawcze podejmowane w ramach ruch AI and Law

KR4IPLaw Judgment Miner - Case-Law Mining for Legal Norm Annotation

The use of pragmatics in applying the law is hard to deal with for a legal knowledge engineer who needs to model it in a precise KR for (semi-)automated legal reasoning systems. The negative aspects of pragmatics is due to the difficulty involved in separating their concerns. When representing a legal norm for (semi-)automated reasoning, an important step/aspect is the annotation of legal sections under consideration. Annotation in the context of this paper refers to identification, segregation and thereafter representation of the content and its associated context. In this paper we present an approach and provide a proof-of-concept implementation for automatizing the process of identifying the most relevant judgment pertaining to a legal section and further transforming them into a formal representation format. The annotated legal section and its related judgments can then be mapped into a decision model for further down the line processing