Artificial Intelligence and Machine Learning in Legal Research: A Comprehensive Analysis

Authors

  • Muhammad Hamza Zakir LLM, Department of Law, Abdul Wali Khan University, Mardan, Khyber Pakhtunkhwa, Pakistan.
  • Sobia Bashir Assistant Professor, Law College, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan.
  • Rafia Naz Ali Assistant Professor, Department of Shariah and Law, Islamia College University, Peshawar, Khyber Pakhtunkhwa, Pakistan.
  • Syed Hammad Khan Law Graduate, Department of Law, Abdul Wali Khan University, Mardan, Khyber Pakhtunkhwa, Pakistan.

DOI:

https://doi.org/10.55737/qjss.203679344

Keywords:

Machine Learning (ML), Artificial Intelligence (AI), Legal System, Legal Research

Abstract

This paper conducts a thorough investigation into the profound ramifications of Artificial Intelligence (AI) and Machine Learning (ML) on legal proceedings and the justice system. It assesses how these technologies are reshaping existing legal structures and principles by fundamentally altering judicial practices. Looking ahead, the paper anticipates a promising trajectory for AI and ML in legal research, elucidating their developmental pathways and introducing novel areas of inquiry. It emphasizes the necessity of an interdisciplinary approach, advocating for collaboration between legal professionals, data scientists, and ethicists to effectively address the ethical and practical challenges inherent in the integration of AI with the law. This synergy is deemed essential for navigating the complexities of ethics and practice that arise from the intersection of AI and the legal domain. Moreover, the research underscores the pivotal roles played by AI, ML, and related technologies, asserting that they transcend mere instrumental functions to become catalysts for comprehensive transformations in legal research methodologies. By embracing these technologies, the legal field stands on the brink of a substantial transformation, heralding the end of traditional practices and the dawn of a new era characterized by digital-age legal research paradigms.

Downloads

Download data is not yet available.

Author Biography

  • Muhammad Hamza Zakir, LLM, Department of Law, Abdul Wali Khan University, Mardan, Khyber Pakhtunkhwa, Pakistan.

References

Abdallah, M., & Salah, M. (2024). Artificial Intelligence and Intellectual Properties: Legal and Ethical Considerations. International Journal of Intelligent Systems and Applications in Engineering, 12(1), 368-376. https://ijisae.org/index.php/IJISAE/article/view/3911

Abdelrehim, A. A., Khan, A., & Soomro, N. (2021). Digital economy Barriers to trade regulation status, challenges, and China’s response. International Journal of Social Sciences Perspectives, 8(2), 41–49. https://doi.org/10.33094/7.2017.2021.82.41.49

Alarie, B., Niblett, A., & Yoon, A. H. (2018). How artificial intelligence will affect the practice of law. University of Toronto Law Journal, 68(supplement 1), 106-124. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3066816

Aristodemou, L., & Tietze, F. (2018). The state-of-the-art on Intellectual Property Analytics (IPA): A literature review on artificial intelligence, machine learning and deep learning methods for analyzing intellectual property (IP) data. World Patent Information, 55, 37–51. https://doi.org/10.1016/j.wpi.2018.07.002

Ashley, K. D. (2018). Automatically extracting meaning from legal texts: opportunities and challenges. Ga. St. UL Rev., 35, 1117. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4083158

Han, Q., & Snaidauf, D. (2021, December). Comparison of Deep Learning Technologies in Legal Document Classification. In 2021 IEEE International Conference on Big Data (Big Data) (pp. 2701-2704). IEEE.

Joseph, J. D., & Turksen, U. (2022). Harnessing AI for due diligence in CBI Programmes. Legal and Ethical Challenges. Journal of Ethics and Legal Technologies (JELT), 4(2), 3-25. https://doi.org/10.14658/pupj-jelt-2022-2-1

Kanevskaia, O. (2023). The law and Practice of Global ICT standardization. Cambridge University Press.

Khan, A. (2018). Autonomous Weapons and Their Compliance with International Humanitarian Law (LLM Thesis). Traditional Journal of Law. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4072766

Khan, A. (2022). E-commerce Regulations in Emerging Era: The Role of WTO for Resolving the Complexities of Electronic Trade. ASR Chiang Mai University Journal Of Social Sciences And Humanities. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4020854

Khan, A. (2023). Rules on Digital Trade in the Light of WTO Agreements. PhD Law Dissertation, School of Law, Zhengzhou University China.

Khan, A. (2024). The Emergence of the Fourth Industrial Revolution and its Impact on International Trade. ASR Chiang Mai University Journal of Social Sciences and Humanities (Online), 11(1). https://doi.org/10.12982/cmujasr.2024.007

Khan, A., & Jiliani, M. A. H. S. (2023). Expanding The Boundaries Of Jurisprudence In The Era Of Technological Advancements. IIUMLJ, 31(2), 393-426. https://doi.org/10.31436/iiumlj.v31i2.856

Khan, A., & Wu, X. (2020). Impact of digital economy on intellectual property law. J. Pol. & L., 13(4), 117-125. https://doi.org/10.5539/jpl.v13n4p117

Khan, A., & Wu, X. (2021). Bridging the Digital Divide in the Digital Economy with Reference to Intellectual Property. Journal of Law and Political Sciences, 28(03), 256-263.

Khan, A., & Ximei, W. (2022). Digital economy and environmental sustainability: Do information communication and technology (ICT) and economic complexity matter?. International journal of environmental research and public health, 19(19), 12301. https://doi.org/10.3390/ijerph191912301

Khan, A., Jillani, M. a. H. S., & Maseehullah, M. (2019). Killer Robots and Their Compliance with the Principles of Law of War. Social Science Research Network. https://doi.org/10.2139/ssrn.3840427

Khan, A., Jillani, M. A. H. S., Abdelrehim Hammad, A. A., & Soomro, N. E. H. (2021). Plurilateral negotiation of WTO E-commerce in the context of digital economy: Recent issues and developments. Journal of Law and Political Sciences, 26(1), 28-54. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3861291

Khan, A., Khan, A. S., & Khan, I. (2022). Responsibility Of Killer Robots For Causing Civilian Harm: A Critique Of Ai Application In Warfare Doctrine. Pakistan Journal of International Affairs, 5(1), 15-33. https://www.pjia.com.pk/index.php/pjia/article/download/398/281

Khan, A., Usman, M., & Amjad, S. (2023). The digital age legal revolution: TAPED's trailblazing influence. international journal of contemporary issues in social sciences, 2(4), 524-535.

Khan, M. I., Usman, M., Kanwel, S., & Khan, A. (2022). Digital Renaissance: Navigating the Intersection of the Digital Economy and WTO in the 21st Century Global Trade Landscape. Asian Social Studies and Applied Research (ASSAR), 3(2), 496-505.

Negi Advocate, C. (2023). In the Era of Artificial Intelligence (AI): Analyzing the Transformative Role of Technology in the Legal Arena. Available at SSRN 4677039.

Ngige, O. C., Awodele, O., & Balogun, O. (2021). Judicial Artificial Intelligence Bias: A Survey and Recommendations. Transactions on Machine Learning and Artificial Intelligence, 9(2). 74-86. https://doi.org/10.14738/tmlai.92.10118

Park, S. H., Lee, D. G., Park, J. S., & Kim, J. W. (2021). A survey of research on data analytics-based legal tech. Sustainability, 13(14), 8085. https://doi.org/10.3390/su13148085

Shahid, A., Qureshi, G. M., & Chaudhary, F. M. D. (2023). Transforming Legal Practice: The Role of AI in Modern Law. Journal of Strategic Policy and Global Affairs, 04(01), 36–42. https://doi.org/10.58669/jspga.v04.i01.04

Zakir, M. H., Khan, S. H., & Saeed, Z. (2023). The Impact of Artificial Intelligence on Intellectual Property Rights. International Journal of Human And Society, 3(4), 312-319. https://ijhs.com.pk/index.php/IJHS/article/view/330

Zakir, M. H., Rashna, & Ali , S. (2023). Cross-Border Trademark Infringement In The Digital Age: Jurisdictional Challenges And Harmonization Efforts. Pakistan Islamicus (An International Journal of Islamic & Social Sciences), 3(2), 51–69. https://pakistanislamicus.com/index.php/home/article/view/44

Published

2024-03-30

Issue

Section

Articles

How to Cite

Zakir, M. H., Bashir, S., Ali, R. N., & Khan, S. H. (2024). Artificial Intelligence and Machine Learning in Legal Research: A Comprehensive Analysis. Qlantic Journal of Social Sciences, 5(1), 307-317. https://doi.org/10.55737/qjss.203679344