Digitalization of the legal regulation system: Prospects and ways of development

Don State Technical University, 1, Gagarin sq., Rostov-on-Don, Russian Federation

^* Corresponding author: ket_as@mail.ru

Abstract

In modern conditions of society development, legal regulation seems to be insufficiently effective due to a number of reasons: the lack of a unified approach to public administration, an excessive number of legis-lative prescriptions, the disintegration of legal regulation elements, incon-sistency of regulatory requirements, as well as fragmentation in the activi-ties of government bodies. In scientific discourse, the solution of these problems is possible only under the condition of digitalization and automa-tion of the legal regulation system. In this regard, the purpose of the work is to study digital tools of legal regulation in the context of the develop-ment of domestic management structures. The methodological base of the research consists of a compilation of general scientific and private scien-tific methods: analytical, logical, structuring, as well as comparative legal, formal legal and predictive, aimed at a detailed study of the methods of law digitalization, their content stages, principles and functions. The result of the study was the selection and analysis of the most relevant digital man-agement mechanisms, including: automation of the decision-making pro-cess, expert systems, blockchain, artificial intelligence, etc. As the most ef-fective scenario for automating legal structures and domestic legislation, it is proposed to introduce a hybrid human-machine management model, in which a significant role is assigned to digital technologies (artificial intelli-gence, neural networks and software that allows implementing the concept of machine-readable legislation and the unified information code of the Russian Federation), which does not exclude the importance of human, the role of which passes into the category of data entry into a digital system, correction of individual structures and expert control over the activities of digital processes.