Artificial Intelligence and Law: A Bibliometric Insight into Academic Publications and Research Trends

Abstract

In this study, the analysis of artificial intelligence, machine learning, and deep learning studies in the field of law over the past 20 years was conducted. A total of 2161 data were obtained from the Scopus database, with Social Sciences selected as the subject area. The data consisted of various types such as articles, conference papers, book chapters, and books from the years 2003 to 2022. Several analyses were employed in the data analysis, including the number of studies per year, distribution of studies by subject areas, distribution of studies by country, distribution of studies by number of authors, and distribution of trend topics. The research findings revealed a significant increase in the number of studies after 2017, with a focus on topics such as big data, robots, ethics, rights, data protection, autonomous weapons, and natural language processing. In terms of the number of publications, Italy, Australia and Brazil draw attention after the USA, China and England. While the focus of the relations between the authors was the EU countries, there was an intense cooperation between China-USA and Australia-EU countries. The growing number of studies in this area suggests that artificial intelligence will make further progress and become more prominent within the legal field in the near future.

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