Transformer-based language models (TLMs) have widely been recognized to be a cutting-
edge technology for the successful development of deep-learning-based solutions to …

Purpose This study aims to adopt a systematic review approach to examine the existing
literature on law and LLMs. It involves analyzing and synthesizing relevant research papers …

The surge in legal text production has amplified the workload for legal professionals, making
many tasks repetitive and time-consuming. Furthermore, the complexity and specialized …

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 …

This “blue sky idea” paper outlines the opportunities and challenges in data mining and
machine learning involving making a computational attorney—an intelligent software agent …

For safety decisions in social media applications, it is necessary to classify personification
patterns. The paper proposes using video material to apply machine learning to select, and …

Electronic Discovery (eDiscovery) involves identifying relevant documents from a vast
collection based on legal production requests. The integration of artificial intelligence (AI) …

Pronunciamentos judiciais são textos jurídicos que contém declarações de juízes no intuito
de resolver questões ou dar uma solução a um processo judicial. A interpretação e …

Constitutions are foundational legal documents that underpin the governmental and societal
structures. As such, they are a reflection of a nation's cultural and social uniqueness, but …

As large legal corpora become more abundant, its use in developing generative legal AI is
poised to transform the legal sector. However, the use of case law data necessitates a more …