Towards Measurable Intelligent Inference Position paper on the future of legal argumentation with cases in AI&Law

Research on modeling legal argumentation with cases has explored various ways to represent cases and arguments about them. Strong connections to computational models of argument exist with regard to representation and inference/semantics. While many insights have been gained, I will argue in this short paper that, from the perspective of a potential future user of a legal-case-argumentation tool, the state of the art in the field does not yet enable the development of systems capable of drawing intelligent and useful inferences from available knowledge. In order to tackle this challenge, I advocate for a more detailed exploration of value-based/purposive reasoning and the corresponding knowledge representation problems as well as for a commitment to an implementation and empirical evaluation of developed formalisms.