Abstract
A central research theme in Artificial Intelligence and Law (AI & Law) is how to computationally handle the rules, cases, and arguments in the law. The insights gained in AI & Law have special relevance today since there is a generally perceived need to make AI social, explainable, and responsible. This requires a solid connection between knowledge-based and data-driven AI, which can take inspiration from results in AI & Law. In AI & Law, knowledge and data often have the form of rules and cases that are followed and contrasted in legal arguments, thereby allowing for the application and development of the law. In this chapter, we focus on the discussion of three styles of legal reasoning: rule-based reasoning, case-based reasoning, and argument-based reasoning, which are illustrated using tort law in the Netherlands as an example. The chapter ends with suggestions for further reading in AI & Law research.
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