ICAIL

The growing complexity of legal cases has lead to an increasing interest in legal information retrieval systems that can effectively satisfy user-specific information needs. However, such downstream systems typically require documents to be properly ...

Horty, Rigoni and Prakken have developed formal characterisations of precedential constraint based on dimensions and factors as introduced in HYPO and CATO. We discuss the relation between dimensions and factors and also describe the current models of ...

Automatic summarization of legal case documents is an important and practical challenge. Apart from many domain-independent text summarization algorithms that can be used for this purpose, several algorithms have been developed specifically for ...

The article examines whether the current product liability law provides an appropriate regulation for AI systems. This question, which is discussed at the example of the European Product Liability Directive, is of great practical importance in the ...

The General Data Protection Regulation (GDPR) requires data controllers to implement end-to-end compliance. Controllers must therefore ensure that the terms agreed with the data subject and their own obligations under GDPR are respected in the data ...

When literal interpretation of statutes leads to counterintuitive consequences, judges, especially in high courts, may identify counterintuitive consequences and revise interpretation of statutes. Researchers have studied revisions for computational ...

Explainable artificial intelligence (XAI) is a research direction that was already put under scrutiny, in particular in the AI&Law community. Whilst there were notable developments in the area of (general, not necessarily legal) XAI, user experience ...

Legal documents often contain references to either other documents, or other parts (of the same document). The use of references is meant to reduce the complexity of the documents; however, they pose serious concerns for the formal (logical) ...

Lawyers and judges spend a large amount of time researching the proper legal authority to cite while drafting decisions. In this paper, we develop a citation recommendation tool that can help improve efficiency in the process of opinion drafting. We ...

We propose an additive model for balancing the impacts of actions on values, where factors intensify or attenuate impacts on values, and values are assigned degrees of relative importance (weights). The balancing model induces axiological rules, ...

Lawyers regularly predict court outcomes to make strategic decisions, including when, if at all, to sue or settle, what to argue, and how to reduce their clients' liability risk. Yet, lawyer predictions tend to be poorly calibrated and biased, which ...

Recommender systems assist legal professionals in finding relevant literature for supporting their case. Despite its importance for the profession, legal applications do not reflect the latest advances in recommender systems and representation learning ...

The U.S. court system is the nation's arbiter of justice, tasked with the responsibility of ensuring equal protection under the law. But hurdles to information access obscure the inner workings of the system, preventing stakeholders - from legal ...

In this paper, we examine the use of multi-lingual sentence embeddings to transfer predictive models for functional segmentation of adjudicatory decisions across jurisdictions, legal systems (common and civil law), languages, and domains (i.e. contexts)...

A critical challenge in "Rules as Code" ("RaC") initiatives is enhancing legal accuracy. In this paper, we present the preliminary results of a two-week, first of its kind experiment that aims to shed light on how different legally trained people ...

Stare decisis is a fundamental principle of case-based reasoning. Yet its application varies in complexity and depends, in particular, on whether relevant past decisions agree, or exist at all. The contribution of this paper is a formal treatment of ...

While self-supervised learning has made rapid advances in natural language processing, it remains unclear when researchers should engage in resource-intensive domain-specific pretraining (domain pretraining). The law, puzzlingly, has yielded few ...

One approach to building legal support systems is to run an executable model of the relevant knowledge through an interface designed to collect information from the user and provide explanations. The usability of such systems depends on the terms used ...

In this article, we discuss case decision predictors, algorithms which, given some features of a legal case predict the outcome of the case (i.e. the decision of the judge). We discuss whether, and if so how, such prediction algorithms can be used to ...

In this paper we provide an account of the burden of persuasion in the context of structured argumentation. A formal model for the burden of persuasion is defined, discussed, and used to capture the role of the burden of persuasion in adjudicating ...

As the use of personal data becomes further entrenched in the function of societal interaction, the regulation of such data continues to grow as an important area of law. Nevertheless, it is unfortunately the case that data protection authorities have ...

Artificial Intelligence (AI) and the regulation thereof is a topic that is increasingly being discussed and various proposals have been made in literature for defining regulatory bodies and/or related regulation. In this paper, we present a pragmatic ...

Over the last decade online dispute resolution (ODR) has moved from merely e-commerce litigation to widespread use in court systems. Two phenomena have led to this situation: the rise of Self-Represented Litigants and Courts moving beyond their ...

In this paper, we introduce a new French Data-to-Text (D2T) dataset in the legal domain: Plum2Text¹. It is made out of plumitifs (docket files) - descriptions pairs that are derived from publicly available documents issued by Canadian criminal courts. ...

In the legal domain, many legal documents such as court decisions and contracts are regularly anonymized. This process requires text sequences with high sensitivity to be identified and neutralized to secure sensitive information from third parties. ...

This paper addresses a key application of Machine Learning (ML) in the legal domain, studying how ML may be used to increase the effectiveness of a criminal recidivism risk assessment tool named RisCanvi, without introducing undue biases. The two key ...

Reified Input/Output logic [29] has been recently proposed to handle natural language meaning in Input/Output logic [17]. So far, the research in reified I/O logic has focused only on KR issues, specifically on how to use the formalism for representing ...

A legal procedure in court proceedings is a sequence of actions in which the last action is (the creation of) a(n individual) norm, where the court settles that it is obligatory in the interest of some agents that other agents bring about a certain ...

The article discusses the problem of automatic detection of amendments found in the Polish statutory law. We treat the problem as a token-classification task and we introduce a scheme constructed by analysis of more than 200 amending bills. We apply ...

International Private Law (PIL) is a complex legal domain that presents frequent conflicting norms between the hierarchy of legal sources, legal domains, and the adopted procedures. Scientific research on PIL reveals the need to create a bridge between ...