The Relevance of the Usage of Artificial Intelligence and Machine Learning in Legal Analysis (An Analysis of Legal Provisions in the National Sharia Council Fatwa and Financial Services Authority Regulation Using Plagiarism Checker and ATLAS.ti)

DOI

10.2991/assehr.k.211102.125How to use a DOI?

Keywords

Artificial Intelligence; Machine Learning; Plagiarism Checker; ATLAS.ti

Abstract

This study aims to find out to what extent the relevance of the usage of Artificial Intelligence and Machine Learning can be applied in legal analysis and making legal decisions. This study’s employed approach was a content analysis by utilizing two computer programs: Plagiarism Checker and ATLAS.ti. Documents as samples analyzed in this study were the National Sharia Council Fatwa (Fatwa Dewan Syariah Nasional) and the Financial Services Authority Regulation (Peraturan Otoritas Jasa Keuangan). Therefore, in this study, the researcher sought to what extent these two computer programs can be applied in analyzing legal documents and their benefits. The results of this study indicated that both programs could be applied to analyze legal documents more efficiently. For their benefits, these programs can be used (1) to assess the transformation of the fatwa in statutory regulations, (2) to find out the relationship between the National Sharia Council Fatwa and the Financial Services Authority Regulation, and (3) to be as doctrinal analysis instruments.

Copyright

© 2021 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Soleh Hasan Wahid
AU  - Anjar Kususiyanah
PY  - 2021
DA  - 2021/11/16
TI  - The Relevance of the Usage of Artificial Intelligence and Machine Learning in Legal Analysis (An Analysis of Legal Provisions in the National Sharia Council Fatwa and Financial Services Authority Regulation Using Plagiarism Checker and ATLAS.ti)
BT  - Proceedings of the 1st International Conference on Research in Social Sciences and Humanities (ICoRSH 2020)
PB  - Atlantis Press
SP  - 926
EP  - 936
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.211102.125
DO  - 10.2991/assehr.k.211102.125
ID  - Wahid2021
ER  -