Feasibility Analysis of the Jurisprudential and Legal Use of Artificial Intelligence as a Means of Evidence in Civil and Criminal Proceedings
Keywords:
Artificial intelligence, smart litigation, digital evidence, new technologies, digital lawAbstract
With the significant advances in modern technologies, particularly in the field of Artificial Intelligence (AI), the potential application of this technology in various legal and judicial arenas is rapidly expanding. Artificial Intelligence, as a novel tool, can play a crucial role in the analysis and substantiation of claims. This study explores the use of AI in evidentiary procedures, especially in the context of digital evidence, big data analysis, and the simulation of legal reasoning. One of the main objectives of this research is to identify the diverse applications of Artificial Intelligence within judicial systems. Specifically, in litigation and evidentiary processes, AI can provide substantial assistance to legal practitioners and judges through rapid and precise data processing in the analysis of various types of evidence. Among its applications are the identification of behavioral patterns in similar cases, the classification of documents and records, the analysis of digital data and electronic evidence, and the simulation of legal argumentation. Additionally, the use of AI in predicting judicial decisions based on similar precedents may enhance both the accuracy and speed of judicial procedures. The significance of this research lies in the fact that AI, in addition to improving the precision and speed of adjudicating disputes, may also contribute to the reduction of litigation costs and the enhancement of transparency in judicial decisions. Nonetheless, challenges such as ethical concerns, privacy protection, and technical limitations in implementing this technology must be carefully considered. Ultimately, it appears that the use of Artificial Intelligence in evidentiary processes—provided that appropriate principles and regulations are observed—can significantly improve the efficiency and accuracy of the judicial system.
Downloads
References
Ahmad, S. (2020). Legal and Ethical Implications of Artificial Intelligence in Islamic Jurisprudence. Journal of Islamic Law Studies, 29(3), 235-245.
Aletras, N., Tsarapatsanis, D., Preoţiuc-Pietro, D., & Lampos, V. (2016). Predicting judicial decisions of the European Court of Human Rights: A natural language processing perspective. Peerj Computer Science, 2. https://doi.org/10.7717/peerj-cs.93
Amerandish. (2020). 4 Applications of Artificial Intelligence in the Field of Law | What Will Be the Future of the Legal and Advocacy Professions? https://amerandish.com/artificial-intelligence-in-law/
Ashley, K. D. (2017). Artificial intelligence and legal analytics: New tools for law practice in the digital age. Cambridge University Press. https://doi.org/10.1017/9781316761380
Bench-Capon, T., & Atkinson, K. (2017). Argumentation in artificial intelligence and law. Artificial Intelligence, 241, 1-25. https://doi.org/10.1016/j.artint.2016.09.006
Binns, R. (2018). Algorithmic Transparency and Accountability: The Importance of Open Systems in AI Decision-Making. Ethics and Information Technology, 20(3), 123-136.
Borna News. (2023). Robots in the Service of Law. https://borna.news/fa/news/2175301/
Catalino, R. (2021). Artificial Intelligence in the Courtroom: Implications for Legal Practice and Justice. Journal of Legal Technology, 34(4), 230-245.
Chalkidis, I., Androutsopoulos, I., & Aletras, N. (2021). Deep learning in legal text processing: A review of methods and datasets. Artificial Intelligence and Law, 29(1), 3-42. https://doi.org/10.1007/s10506-020-09268-x
Chawla, S., Chen, M., & Nguyen, H. T. (2018). Predicting case outcomes with machine learning: A study of judicial decisions.
Chen, M., Mao, S., & Liu, Y. (2012). Big data: A survey. Mobile Networks and Applications, 19(2), 171-209DO - 110.1007/s11036-11013-10489-11030.
Fan, R., Ai, W., & Song, Z. (2019). Object detection in crime scene images using deep learning. Forensic Science International, 297, 110-118. https://doi.org/10.1016/j.forsciint.2019.02.029
Fleming, S., Jack, B., & Forshaw, S. (2020). Leveraging AI and big data in criminal investigations: Opportunities and challenges. Artificial Intelligence and Law, 28(3), 231-258. https://doi.org/10.1007/s10506-020-09261-4
Glock, R. (2018). The Role of Artificial Intelligence in Forensic Analysis: Challenges and Opportunities. Journal of Forensic Sciences, 63(5), 1122-1134.
Herd, L. (2020). Artificial Intelligence in Legal Services: Realizing the Promise of AI for Law Firms. Journal of Legal Technology Risk Management, 16(1), 67-80.
Jurafsky, D., & Martin, J. H. (2023). Speech and language processing: An introduction to natural language processing, computational linguistics, and speech recognition (Vol. 3). Pearson.
Kerr, O. (2019). Digital Evidence and the Law: The Need for a New Framework. Harvard Law Review, 132(4), 892-912.
Kleinberg, J., Lakkaraju, H., Leskovec, J., Ludwig, J., & Lewis, R. A. (2018). Human decisions and machine predictions. Science, 360(6396), 1079-1081. https://doi.org/10.1126/science.aap9519
Le Khac, N. A., & Kechadi, T. (2020). Application of big data and machine learning in financial forensics and fraud detection. Forensic Science International: Reports, 2, 100088. https://doi.org/10.1016/j.fsir.2020.100088
Masoumi, E. (2023). Artificial Intelligence and Digital Evidence Analysis in the Judicial System: Challenges and Solutions. Journal of Law and Technology, 29(3), 102-115.
Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2SP - 1), 21. https://doi.org/10.1177/2053951716679679
Müller, M. (2018). Cybersecurity and AI: Risk and Solutions. Springer.
Nguyen, H. H., Yamagishi, J., & Echizen, I. (2021). Capsule-forensics: Using capsule networks to detect forged images and videos. Neural NetworksVL - 139, 111-121. https://doi.org/10.1016/j.neunet.2021.02.009
O'Neil, C. (2016). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Crown Publishing Group.
Rajpurkar, P., Jia, R., & Liang, P. (2018). Know what you don't know: Unanswerable questions for SQuAD. https://doi.org/10.18653/v1/P18-2124
Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (Vol. 4). Pearson.
Sulea, O. M., Zampieri, M., Malmasi, S., Vela, M., Dinu, L. P., & van Genabith, J. (2017). Exploring the use of text classification for predicting the outcome of legal cases. Artificial Intelligence and Law, 25(1), 73-94. https://doi.org/10.1007/s10506-016-9197-0
Susskind, R. (2019). Tomorrow's Lawyers: An Introduction to Your Future. Oxford University Press.
Susskind, R., & Susskind, D. (2015). The Future of the Professions: How Technology Will Transform the Work of Human Experts. Oxford University Press. https://doi.org/10.1093/oso/9780198713395.001.0001
Verdoliva, L. (2020). Media forensics and deepfakes: An overview. IEEE Journal of Selected Topics in Signal ProcessingVL - 14(5), 910-932. https://doi.org/10.1109/JSTSP.2020.3002101
Williams, J. (2020). AI in Law: The Future of Legal Technology. Springer.
Zeng, L. (2018). Privacy Protection in the Era of Artificial Intelligence: Current Trends and Future Directions. Journal of Data Privacy and Security, 14(2), 45-67.
Zhang, Y. (2020). Privacy Protection in the Age of AI: The Need for International Standards. International Data Privacy Journal, 13(1), 1-19.
Downloads
Published
Submitted
Revised
Accepted
Issue
Section
License
Copyright (c) 1403 طیبه عارف نیا, شمس الله شالیگر, مهدی محمدیان امیری (نویسنده)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.