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The use of technology in legal reasoning has become the mainstream direction of legalsystems and governments. Especially, higher quality services provided by artificial intelligence and bigdata technologies enable lawyers and government officials to reduce the risk of inappropriatelegislation and act efficiently. Although a significant number of researches have been conducted sofar in that area, there is still an increasing need for structuring knowledge ontologies about the use ofartificial intelligence and data analysis in law and jurisdiction. Therefore, this paper aims to provide acomprehensive overview of applications of those higher-level technologies in legal reasoning andprocessing by identifying, classifying, and evaluating existing literature related to that area of research.The main procedures of this study include planning of the study (definitions of research questions andthe scope and establishment of the search strategy and selection criteria) and conducting of the study(analysis & mapping, data extraction & classification, selection of primary studies, and searchexecution). As a result of this systematic mapping study, the findings include a classified portfolio ofpublications, higher level mapping of the structure of existing literature, and visualized status of thetarget research area about pre-established research questions. Based on the findings of thissystematic study, the author draws implications and guidelines for lawyers and government officialswho have an interest in using such first-class technologies in their jobs. Finally, this article also providesresearch agenda to fill in the gaps in this knowledge domain and spot research trends.
Khaydarova Umida Pulatovna (Sun,) studied this question.