Applying natural language processing-related algorithms is currently a popular project in legal applications, for instance, document classification of documents, contract review and machine translation. Using the above learning algorithms, all need to encode words form vectors. The word embedding model modern distributed representation approach most common unsupervised encoding method. It facil...

Most legal expert systems attempt to implement complex models of legal reasoning. But the utility of a legal expert system lies not in the extent to which it simulates a lawyer’s approach to a legal problem, but in the quality of its predictions and of its arguments. A useful legal expert system should be capable of producing advice similar to that which one might get from a lawyer, so it shoul...

The first issue of Artificial Intelligence and Law journal was published in 1992. This paper provides commentaries on landmark papers from the decade that journal. topics discussed include reasoning with cases, argumentation, normative reasoning, dialogue, representing legal knowledge neural networks.

In the field of the formal modeling of legal reasoning, the logic of law, for short, a great deal of research has been performed over the last decade. It is ever wider recognized that logic has more to offer than just the correct use of the classical logical connectives, such as 'if ..., then ...' and '... or ...'. Especially, reasoning with exceptions, conflicts and applicability, all common i...