We evaluated the capability of a state-of-the-art generative pretrained transformer (GPT)
model to perform semantic annotation of short text snippets (one to few sentences) coming …

We evaluated the capability of generative pre-trained transformers~(GPT-4) in analysis of
textual data in tasks that require highly specialized domain expertise. Specifically, we …

The emergence of ChatGPT has sensitized the general public, including the legal
profession, to large language models'(LLMs) potential uses (eg, document drafting, question …

In this article, we introduce LLMediator, an experimental platform designed to enhance
online dispute resolution (ODR) by utilizing capabilities of state-of-the-art large language …

Laypeople (ie individuals without legal training) may often have trouble resolving their legal
problems. In this work, we present the JusticeBot methodology. This methodology can be …

This paper investigates the potential for reducing the complexity of AI and Law and empirical
legal studies projects through a novel annotation methodology that relies on GPT Family …

In this work we study, design, and evaluate computational methods to support interpretation
of statutory terms. We propose a novel task of discovering sentences for argumentation …

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 …

The assessment of the relevance of legal documents and the application of legal rules
embodied in legal documents are some of the key processes in the field of law. In this paper …

In this paper, we examine the use of multi-lingual sentence embeddings to transfer
predictive models for functional segmentation of adjudicatory decisions across jurisdictions …