The relevance of the study is explained by the need to solve problems related to the use of Big Data and artificial intelligence in the judicial system. Electronic justice is one of the primary vectors of modernizing the judicial system, enabling it to quickly and effectively protect the constitutional rights and freedoms of citizens and make justice accessible and transparent. The main tasks of the judicial system are to ensure unhindered and convenient access tojustice through IT services, automation of legal proceedings and work with big data, taking into account international best practices, including the creation of electronic courts, criminal case management systems, expression functionality, converting it to text format, and automation of work processes. The purpose of the article is to study the application of big data and artificial intelligence in the modern judicial system. Civil procedure has increased the effectiveness of artificial intelligence in courts, such as the judiciary, and enhanced its potential to protect human rights. Prosecutors utilize innovative solutions to safeguard the rights of citizens and businesses, as well as public interests. One of the main goals of civil proceedings today is to ensure unhindered and convenient access to justice through IT services, automation of legal proceedings and work with big data, taking into account international best practices, including the creation of electronic courts, criminal case management systems, speech recognition functionality, converting it to text format, and process automation.. Another area in which lawyers are confronted with new information analysis technology is the use of big data to develop algorithms that begin to make decisions on behalf of humans. It is the use of these programs that is the beginning of the most problematic issues, in particular, the question arises of the law enforcement of lawyers in case of errors. Thus, the research in this article will be undoubtedly helpful to many lawyers when using big data.
Saparbekova et al. (Fri,) studied this question.