Using of Artificial Intelligence Methods in Judicial Proceedings

Abstract

Introduction. The judicial system in today's world is faced with a large number of cases that require efficient and fair resolution. Thanks to the development of information technologies, the automation of the process of conducting court cases and the introduction of intelligent systems have become urgent tasks for improving judicial justice. The justice sector has been slower than other sectors to adopt artificial intelligence and information technology (IT) in general. However, in most countries the amount of digital information resulting from the use of IT in legal proceedings is increasing. In this regard, the possibility of using artificial intelligence (AI) in the work of judicial bodies, prosecutor's offices and other specialized judicial bodies around the world is increasingly being investigated. Jurisprudence includes a wide range of problems and, accordingly, different sources of data for their solution. Using legislation, materials of criminal and administrative cases, concluded contracts and other legal documents, relevant specialists make decisions. In turn, artificial intelligence technologies, according to examples in other domains, can become assistants for specialists or make decisions in an autonomous mode.. The purpose of the article. To review the existing approaches to the application of artificial intelligence in the judicial system, to find out the shortcomings, advantages and limitations of machine learning algorithms in the judicial system. Determine the goals and methodology for further research. Results. In this work, the application of machine learning methods for solving problems arising in the field of jurisprudence is considered, algorithms, data sets and goals for further work are defined. Keywords: recurrent neural networks, machine learning, vectorization, text classification.