Research in AI and Law has, throughout its history, produced a variety of approaches by which legal cases can be modelled.  These approaches support different styles of reasoning for a variety of problem-solving contexts, such as decision-making, information retrieval, teaching, etc.  Particular legal cases that have received wide coverage in the AI and Law literature include: the infamous property law case of Pierson v. Post (see e.g. Berman and Hafner, ICAIL 1993; Gordon and Walton, COMMA 2006); other cases involving the capture of wild animals such as Young v. Hitchens and Keeble v. Hickeringill (see e.g. Berman and Hafner, ICAIL 1993; Bench-Capon and Rissland, JURIX 2001); US trade secrets cases such as Mason v. Jack Daniel Distillery (see e.g. Aleven and Ashley, ICAIL 1997); and, criminal cases such as the Rijkbloem case (see e.g. Bex et. al, ICAIL 2007). The aim of this workshop is to provide a forum in which researchers can present their own particular approach used for modelling such legal cases, with a view to considering the relative merits of the individual approaches.

See the Call for Papers for further information.