Transformer architectures are highly expressive because they use self-attention
mechanisms to encode long-range dependencies in the input sequences. In this paper, we …

Abstract While Artificial Intelligence (AI) promises to transform business models and enable
novel service propositions, it also ushers in intricate managerial challenges. To comprehend …

Various AI systems have taken a unique space in our daily lives, hel** us in decision-
making in critical as well as non-critical scenarios. Although these systems are widely …

In recent years, applying AI techniques in the legal field has attracted researchers' attention.
In particular, Legal Judgment Prediction (LJP), which aims to predict accusations based on …

Recent advances in Artificial intelligence (AI) have leveraged promising results in solving
complex problems in the area of Natural Language Processing (NLP), being an important …

Brazilian legal system prescribes means of ensuring the prompt processing of court cases,
such as the principle of reasonable process duration, the principle of celerity, procedural …

This paper reviews the most recent literature on experiments with different Machine
Learning, Deep Learning and Natural Language Processing techniques applied to predict …

Legal judgment prediction is the most typical application of artificial intelligence technology,
especially natural language processing methods, in the judicial field. In a practical …

Legal Judgment Prediction (LJP) involves examining the given input case document and
recommending the judgment prediction such as applicable law sections, charges, and …

Legal Judgment Prediction (LJP) aims to predict judgment outcomes based on case
description. Several researchers have developed techniques to assist potential clients by …