Comparative study of artificial intelligence in judicial activity

2026

Closed access Metadata (CSL-JSON)
DOI 10.31489/2026l2/158-172
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

The purpose of this article is to conduct a comparative analysis of trends and practices in the use of artificial intelligence technologies in the justice sector in foreign countries, as well as to develop a framework for extrapolating international experience within the context of a comparative study. The research methodology is based on a comparative method, which serves as a fundamental tool for identifying best practices and correlating them with existing capabilities in the Republic of Kazakhstan in order to determine areas for extrapolation. The study employs methods of system analysis, as well as logical-legal, and theoretical-legal analysis of international experience, including the identification of both positive and negative aspects. The main conclusion of the study is that the pace of development of artificial intelligence technologies does not allow states to ignore their relevance for progressive development. Only bold and radical decisions to integrate artificial in telligence into various spheres of the state and society are the key to national success, provided that such implementation is carried out in compliance with ethical aspects and legal regulations. Proposals for extrapolating best practices have practical significance in implementing the priority trend of digital transformation as sociated with the use of artificial intelligence.