Artificial Intelligence Application in Law: A Scientometric Review




artificial intelligence in law, legal informatics, bibliometric analysis, law informatics, machine learning


Several topics, problems, and established legal principles are already being challenged using artificial intelligence (AI) in numerous applications. The powers of AI have been snowballing to the point where it is evident that AI applications in law and various economic sectors aid in promoting a good society. However, questions such as who the prolific authors, papers, and institutions are, as well as what the specific and thematic areas of application are, remain unanswered. In the current study, 177 papers on AI applications in law published between 1960 and April 29, 2022, were pulled from Scopus using keywords and analysed scientometrically. We identified the strongest citation bursts, the most prolific authors, countries/regions, and primary research interests, as well as their evolution trends and collaborative relationships over the past 62 years. The analysis also identified co-authorship networks, collaboration networks of countries/regions, co-occurrence networks of keywords, and timeline visualisation of keywords. This study concludes that systematic study and enough attention are still lacking in AI application in law (AIL). The methodical design of the required platforms, as well as the collecting, cleansing, and storage of data, and the collaboration of many stakeholders, researchers, and nations/regions are all problems that AIL must still overcome. Both researchers and industry professionals who are devoted to AIL will find value in the findings.


Received: 4 February 2023 | Revised: 25 May 2023 | Accepted: 9 June 2023


Conflicts of Interest

The authors declare that they have no conflicts of interest to this work.


Data Availability Statement

The data that support the findings of this study are openly available at


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Author Biographies

Samuel Boateng, Department of Computer Science and Informatics, University of Energy and Natural Resources, Ghana



Juanita Ahia Quarcoo, Department of Electrical and Electronic Engineering, Sunyani Technical University, Ghana



Peter Nimbe, Department of Computer Science and Informatics, University of Energy and Natural Resources, Ghana






How to Cite

Nti, I. K., Boateng, S. ., Quarcoo, J. A. ., & Nimbe, P. . (2023). Artificial Intelligence Application in Law: A Scientometric Review. Artificial Intelligence and Applications, 2(1), 1–10.