The first issue of Artificial Intelligence and Law journal was published in 1992. This paper provides commentaries on nine significant papers drawn from the Journal’s second decade. Four of the papers relate to reasoning with legal cases, introducing contextual considerations, predicting outcomes on the basis of natural language descriptions of the cases, comparing different ways of representing cases, and formalising precedential reasoning. One introduces a method of analysing arguments that was to become very widely used in AI and Law, namely (...) argumentation schemes. Two relate to ontologies for the representation of legal concepts and two take advantage of the increasing availability of legal corpora in this decade, to automate document summarisation and for the mining of arguments. (shrink)

The paper focuses on a specific type of referring legal provisions, in which the referring phrase contains a component that indicates the position of a certain fragment of the same text of a normative act by determining the position of that fragment in relation to the fragment in which the given referring phrase is located. Despite the fact that these referrals, called deictic, may be perceived as uncomplicated in structure and as functioning correctly in legal texts, many theoretical as well (...) as practical problems arise during their drafting and legal interpretation. The article attempts to reveal, organize and name these problems basing on the conceptual grid formulated by Studnicki, Łachwa, Fall and Stabrawa as a universal, although not widely known outside Polish jurisprudence, tool for analysing and solving referring provisions as elements of various legal systems, especially continental ones. Texts of selected Polish Codes have been chosen as an illustrative material of deictic referrals which have been incorrectly formulated as leaving space for interpretative doubts in terms of place of indication and place of reference, which also causes a potential problem of the deferred ostension phenomenon noticed by Quine. The author argues that proper drafting of referring legal provisions with deictic indication requires that the legislator should have extensive pragmalinguistic knowledge and is an essential part of law-making oriented towards achieving comprehensibility of texts of normative acts, especially as important as Codes. (shrink)

This paper reflects my address as IAAIL president at ICAIL 2021. It is aimed to give my vision of the status of the AI and Law discipline, and possible future perspectives. In this respect, I go through different seasons of AI research : from the Winter of AI, namely a period of mistrust in AI, to the Summer of AI, namely the current period of great interest in the discipline with lots of expectations. One of the results of the first (...) decades of AI research is that “intelligence requires knowledge”. Since its inception the Web proved to be an extraordinary vehicle for knowledge creation and sharing, therefore it’s not a surprise if the evolution of AI has followed the evolution of the Web. I argue that a bottom-up approach, in terms of machine/deep learning and NLP to extract knowledge from raw data, combined with a top-down approach, in terms of legal knowledge representation and models for legal reasoning and argumentation, may represent a promotion for the development of the Semantic Web, as well as of AI systems. Finally, I provide my insight in the potential of AI development, which takes into account technological opportunities and theoretical limits. (shrink)

This paper presents an approach for legal compliance checking in the Semantic Web which can be effectively applied for applications in the Linked Open Data environment. It is based on modeling deontic norms in terms of ontology classes and ontology property restrictions. It is also shown how this approach can handle norm defeasibility. Such methodology is implemented by decidable fragments of OWL 2, while legal reasoning is carried out by available decidable reasoners. The approach is generalised by presenting patterns for (...) modeling deontic norms and norms compliance checking. (shrink)

The first issue of _Artificial Intelligence and Law_ journal was published in 1992. This special issue marks the 30th anniversary of the journal by reviewing the progress of the field through thirty commentaries on landmark papers and groups of papers from that journal.