Legal Judgment Prediction: A Systematic Literature Review

The goal of legal judgment prediction is to automatically foretell the decisions that judges will make in different legal scenarios. A legal practitioner can construct a model for predicting the judgment results based on the new case facts by using machine learning (ML) and deep learning (DL) of existing public judicial documents. The model can provide a reference for the results. Numerous studies have been carried out in order to further investigate the numerous advancement possibilities associated with this subject. In this paper, an attempt is made to provide a summary of the numerous types of research that have been conducted in the form of a Systematic Literature Review (SLR). The purpose of this paper is to obtain an overview of research that combines a number of different elements of legal judgment prediction, such as datasets, methods, assessment metrics, and obstacles.