Recent years have seen much new research on the interface between artificial intelligence and law, looking at issues such as automated legal reasoning. This collection of papers represents the state of the art in this fascinating and highly topical field.

Legal Text Processing and Information Extraction.- Legal Language and Legal Knowledge Management Applications.- Named Entity Recognition and Resolution in Legal Text.- Using Linguistic Information and Machine Learning Techniques to Identify Entities from Juridical Documents.- Approaches to Text Mining Arguments from Legal Cases.- Legal Text Processing and Construction of Knowledge Resources.- Automatic Identification of Legal Terms in Czech Law Texts.- Integrating a Bottom-Up and Top-Down Methodology for Building Semantic Resources for the Multilingual Legal Domain.- Ontology Based Law Discovery.- Multilevel Legal Ontologies.- Legal Text Processing and Semantic Indexing, Summarization and Translation.- Semantic Indexing of Legal Documents.- Automated Classification of Norms in Sources of Law.- Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain.- An Automatic System for Summarization and Information Extraction of Legal Information.- Evaluation Metrics for Consistent Translation of Japanese Legal Sentences.