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Artificial Intelligence in Legal Practice: Applications, Challenges, and Future Prospects

Yıl 2025, Cilt: 8 Sayı: 1, 33 - 57, 02.08.2025

Öz

Artificial Intelligence (AI) is transforming the legal profession, offering significant efficiency improvements while raising ethical and practical concerns. This study examines AI’s role in legal practice, focusing on its impact on research, document review, contract analysis, and case prediction. AI-powered tools, such as natural language processing (NLP) and predictive analytics, have streamlined legal work, reducing time and costs. However, challenges related to algorithmic bias, data privacy, and workforce shifts remain critical issues that require attention.
One of the key findings is AI’s ability to enhance productivity by automating routine legal tasks. Systems like IBM Watson enable faster research and better case forecasting, allowing lawyers to focus on higher-value work. However, AI’s reliance on historical data can reinforce existing biases, particularly in areas like risk assessment and sentencing. Studies highlight the risk of AI amplifying disparities, making fairness and accountability essential in AI implementation. Addressing these concerns requires diverse training datasets, continuous oversight, and transparency in AI decision-making.
Another major concern is privacy. AI systems process vast amounts of sensitive legal information, raising the risk of data breaches or misuse. Ensuring compliance with regulations such as the General Data Protection Regulation (GDPR) is crucial to maintaining confidentiality. Secure AI systems, encryption, and regular audits can help mitigate these risks, but ongoing updates to privacy laws are necessary to keep pace with AI advancements.
The study also explores the shifting roles within the legal profession. While AI can take over repetitive tasks, it is unlikely to replace human lawyers entirely. Instead, new roles will emerge in AI oversight, legal tech management, and ethics enforcement. The impact of AI adoption varies globally, with developed markets integrating AI more rapidly than emerging economies. Limited resources in some regions slow down AI implementation, even though these tools could significantly improve access to justice. Efforts to bridge this gap could ensure a more equitable legal system worldwide.
Legal education must also adapt to this technological shift. Training future lawyers to work with AI tools, understand their ethical implications, and interpret AI-driven results is becoming essential. Law schools are beginning to incorporate AI-focused courses, but broader adoption is needed to prepare legal professionals for an evolving field.
Future research should focus on improving AI’s fairness, increasing transparency in legal decision-making, and understanding its long-term effects on employment. Strengthening AI governance and developing ethical guidelines will be key to ensuring AI benefits the legal profession while minimizing risks. By addressing these challenges, AI can become a valuable tool for improving efficiency and justice in legal practice.

Kaynakça

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  • Abuzir, Y., & Abuzir, S. Y. (2024). Machine Learning and Resampling Techniques for Enhancing Credit Card Fraud Detection in Imbalanced Dataset. Palestinian Journal of Technology and Applied Sciences (PJTAS), 1(7). https://doi.org/10.33977/2106-000-007-001.
  • Abuzir S., Abuzir Y. (2021). Data Mining for CO2 Emissions Prediction in Italy, The Journal of Engineering Sciences and Researches, 3 (1), 59-68. DOI: 10.46387/bjesr.862179.
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  • Aletras, N., Tsarapatsanis, D., Preotiuc-Pietro, D., & Lampos, V. (2016). Predicting judicial decisions of the European Court of Human Rights: A Natural Language Processing perspective. PeerJ Computer Science, 2, e93. https://doi.org/10.7717/peerj-cs.93
  • Almeida, A., Shah, S., Khandor, N. B., & Agarwal, N. (2024). LEGAL AI: A Tool to help Lawyers Optimize theirPerformance. 1-8. https://doi.org/10.1109/iceect61758.2024.10739264
  • Andrade, D., Toapanta, M., Gomez, Z., Mafla, E., Orizaga, A., & Jadan, J. (2024). Future Prospects for the Application of Artificial Intelligence in Judicial Management. Journal of Ecohumanism. https://doi.org/10.62754/joe.v3i7.4450
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Artificial Intelligence in Legal Practice: Applications, Challenges, and Future Prospects

Yıl 2025, Cilt: 8 Sayı: 1, 33 - 57, 02.08.2025

Öz

Artificial Intelligence (AI) is reshaping the legal field, bringing both advantages and concerns. This study examines its influence on legal practice, focusing on efficiency gains and ethical challenges such as bias, privacy risks, and job displacement. Through case studies and an analysis of AI tools, the research evaluates how AI contributes to legal research, contract analysis, and document review. While these technologies improve productivity, they can also reinforce biases if not properly managed. The findings emphasize the importance of transparency and ethical oversight in AI-driven legal work. Future efforts should prioritize reducing bias, increasing AI accountability, and understanding its impact on legal professionals

Kaynakça

  • Abu Khalil, D., & Abuzir, Y. (2024). Detecting and Analyzing Network Attacks: A Time-Series Analysis Using the Kitsune Dataset. Journal of Emerging Computer Technologies, 5(1), 9-23. https://doi.org/10.57020/ject.1563146.
  • Abuzir Y., Abu Khalil D. R. (2025). Improving Network Security through Fuzzing Attack Detection: Machine Learning on the Kitsune Dataset. Computer Science and Information Technology, 13(1), 8 - 31. DOI: 10.13189/csit.2025.130102.
  • Abuzir, Y., & Abuzir, S. Y. (2024). Machine Learning and Resampling Techniques for Enhancing Credit Card Fraud Detection in Imbalanced Dataset. Palestinian Journal of Technology and Applied Sciences (PJTAS), 1(7). https://doi.org/10.33977/2106-000-007-001.
  • Abuzir S., Abuzir Y. (2021). Data Mining for CO2 Emissions Prediction in Italy, The Journal of Engineering Sciences and Researches, 3 (1), 59-68. DOI: 10.46387/bjesr.862179.
  • Ajmi, A. (2024). Revolutionizing access to justice: The role of AI-powered chatbots and retrieval- augmented generation in legal self-help. The Brief, 53(3), 10. Available at: https://irlaw.umkc.edu/faculty works/949
  • Aletras, N., Tsarapatsanis, D., Preotiuc-Pietro, D., & Lampos, V. (2016). Predicting judicial decisions of the European Court of Human Rights: A Natural Language Processing perspective. PeerJ Computer Science, 2, e93. https://doi.org/10.7717/peerj-cs.93
  • Almeida, A., Shah, S., Khandor, N. B., & Agarwal, N. (2024). LEGAL AI: A Tool to help Lawyers Optimize theirPerformance. 1-8. https://doi.org/10.1109/iceect61758.2024.10739264
  • Andrade, D., Toapanta, M., Gomez, Z., Mafla, E., Orizaga, A., & Jadan, J. (2024). Future Prospects for the Application of Artificial Intelligence in Judicial Management. Journal of Ecohumanism. https://doi.org/10.62754/joe.v3i7.4450
  • Ashley, K. D. (2023). Artificial Intelligence and Legal Analytics: New Tools for Law Practice in the Digital Age (2nd ed.). Cambridge University Press.
  • Ashley, K. D. (2024). The Future of AI in Law: Emerging Technologies and Ethical Challenges. Cambridge University Press.
  • Awang, N. A. (2024). Contract Law and Artificial Intelligence: Examine the Implications of AI on Contract Negotiation and Execution, Including the Challenges of Automated Contracting.
  • International Journal ofAcademic Research in Business & Social Sciences, 14(11). https://doi.org/10.6007/ijarbss/v14-i11/23197
  • Ayodeji, Adesokan. (2024). Artificial Intelligence in Enhancing Regulatory Compliance and Risk Management. 10.13140/RG.2.2.20915.44326.
  • Blue Hill Research, (2017), BENCHMARK REPORT: ROSS Intelligence & Artificial Intelligence in Legal Research, 2017 Report Number: A0280
  • Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W.W. Norton & Company.
  • Buchanan, B. G., & Headrick, T. E. (1970). Some Speculation About Artificial Intelligence and Legal Reasoning. Stanford Law Review, 23(1), 40-62.
  • Budhiraja, A., & Sharma, K. (2024). Machine learning infused approach for advancing legal predictive analytics. Communications on Applied Nonlinear Analysis, 31(8s), 352. https://internationalpubls.com
  • Campisi, J., & Lugo, A. (2024). Baker McKenzie builds on AI foundation, crafting tools to help lawyers work 'better, smarter.' The American Lawyer. Retrieved from https://f.datasrvr.com/fr1/524/40576/TAL1205202460018Baker.pdf
  • Casey, A. J., & Niblett, A. (2017). The Death of Rules and Standards. Indiana Law Journal, 92(4), 1401-1447.
  • Chahal, N. K. (2024). Transformative Trends: Exploring the Evolving Role of Artificial Intelligence in the Legal Landscape. International Journal of Science and Research. https://doi.org/10.21275/sr24116210104
  • Chen, Y. (2021). AI in China’s Judicial System: Opportunities and Challenges. Journal of Legal Technology, 14(3), 45-60.
  • Collenette, J., Atkinson, K., & Bench-Capon, T. (2023). Explainable AI tools for legal reasoning about cases: A study on the European Court of Human Rights. Artificial Intelligence, 317, 103861. https://doi.Org/10.1016/j.artint.2023.103861
  • Diwakar, V. (2024). The Impact of Artificial Intelligence on Legal Practices. International Journal for Multidisciplinary Research, 6(5). https://doi.org/10.36948/ijfmr.2024.v06i05.29557
  • Fattah, K., & Mohamed, B. (2024). The Role of Law in Addressing the Risks of Using Artificial Intelligence. International Journal of Science, Technology and Society, 12(5), 151-158. https://doi.org/10.11648/j.ijsts.20241205.12
  • Financial Times. (2024). AI in Legal Document Drafting: The Future of Law Firms. Financial Times. Available at: https://www.ft.com/content/bdc2250f-fbd9-4c4a-98cf-42e389e5b6c0
  • Ganesan, A. (2024). Ethical Use of AI in Criminal Justice System. Advances in Computational Intelligence and Robotics Book Series, 337-366. https://doi.org/10.4018/979-8-3693-9173- 0.ch013
  • Gerke, S., Minssen, T., & Cohen, G. (2020). Ethical and legal challenges of artificial intelligence- driven healthcare. Artificial Intelligence in Healthcare, 295-336. https://doi.org/10.1016/B978-0- 12-818438-7.00012-5
  • Getman, A. P., Yaroshenko, O. M., Shapoval, R. V., Prokopiev, R. Ye., & Demura, M. I. (2023). The impact of artificial intelligence on legal decision-making. International Comparative Jurisprudence, 9(2), https://doi.org/10.13165/j.icj.2023.12.001
  • Glaser, J., & Borna, S. (2024). AI: The new legal powerhouse - Why lawyers should befriend the machine to stay ahead. Reuters. Retrieved from https://www.reuters.com/legal/legalindustry/ai- new-legal-powerhouse-why-lawyers-should-befriend-machine-stay-ahead-2024-10- 24/?utm source=chatgpt.com
  • Gouri, H., Jindal, P., Gouri, R., & Gouri, V. (2025). AI-generated legal documents: Challenges and opportunities for corporate law firms. In Exploration of AI in Contemporary Legal Systems (pp. 12). https://doi.org/10.4018/979-8-3693-7205-0.ch004
  • Hanafi, I., Syah, K., Judijanto, L., Maruf, I. R., & Subihat, I. (2024). Legal study on ethical issues in the use of artificial intelligence for legal decisions: critical literature review. Inspirasi Futura: Media Kajian Keislaman. https://doi.org/10.31941/pj.v23i2.4659
  • Huda, M., Awaludin, A., & Siregar, H. K. (2024). Legal Challenges in Regulating Artificial Intelligence: A Comparative Study ofPrivacy and Data Protection Laws. 1(2), 116-125. https://doi.org/10.59613/g8dc9v94
  • Jurafsky, D., & Martin, J. H. (2020). Speech and Language Processing (3rd ed.). Pearson.
  • Kandula, A. R., Tadiparthi, M., Yakkala, P., Pasupuleti, S., Pagolu, P., & Potharlanka, S. M. C. (2023). Design and Implementation of a Chatbot for Automated Legal Assistance using Natural LanguageProcessingandMachineLearning. 1-6. https://doi.org/10.1109/aicera/icis59538.2023.10420298
  • Katz, D. M., Bommarito, M. J., 2nd, & Blackman, J. (2017). A general approach for predicting the behavior of the Supreme Court of the United States. PloS one, 12(4), e0174698. https://doi.org/10.1371/journal.pone.0174698
  • Kazeem, G. (2020). Risk prediction and decision making in policing - Humans, Algorithms and Data: A study of processes at Bedfordshire Police, Cambridgeshire, and Hertfordshire constabularies. PhD Conference Computing and Communications Open Univerity, United Kingdom. Retrieved from https://www.researchgate.net/publication/344599245 Risk prediction and decision making in policing -Humans Algorithms and Data A study of processes at Bedfordshire police Cambridgeshir e and Hertfordshire constabularies
  • Khabrieva, T. Ya. (2024). Legal issues of the artificial intelligence identification. Vestnik Rossijskoj Akademii Nauk, 94(7), 609-622. https://doi.org/10.31857/s0869587324070015
  • Khalil, D. R. A., & Abuzir, Y. (2024). Cybersecurity in the Internet of Things: the Detection of the Types of Upcoming Digital Information by Using Classification Techniques. Journal of Soft Computing and Artificial Intelligence, 5(2), 41-62. https://doi.org/10.55195/jscai.1576195
  • Koru, B., Ulusoy, D., & Aybay, I. (2024). Artificial Intelligence and Law. Advances in Computational Intelligence and Robotics Book Series, 209-236. https://doi.org/10.4018/979-8- 3693-5533-6.ch008
  • Luminance Legal-Grade™ AI (2025) https://www.luminance.com/overview.html?utm_source=chatgpt.com
  • McCarthy, K. T., Mason, B. A., Arnold, B. J., Castille, C. W., Fey, L. C., Greene, G. M., Hamilton, M., King, F. J., Mason, N. J., & Yoshikawa, J. (2024). Artificial intelligence in legal practice: Benefits, considerations, and best practices. DRI Center for Law and Public Policy Artificial Intelligence Working Group. , Retreived from https://www.dri.org/docs/default-source/dri-white- papers-and-reports/ai-legal-practice.pdf?utm source=chatgpt.com
  • McGinnis, J. O., & Pearce, R. G. (2023). "The Great Disruption: How Machine Intelligence Will Transform the Role of Lawyers in the Delivery of Legal Services." Fordham Law Review, 91(3), 789-824. https://doi.org/10.2139/ssrn.4000000
  • Meza, J., Navarro Cejas, M., Vaca-Cârdenas, M. E., Linzân Saltos, M. F., & Morales Intriago, J. C. (2024). Trends Of Machine Learning Techniques for Enhancing Court Decision Making. 1-7. https://doi.org/10.1109/icedeg61611.2024.10702057
  • Mitchell, T. M. (1997). Machine Learning. McGraw-Hill.
  • Mohamed, E., Quteishat, A., Qtaishat, A., & Mohammad, A. (2024). Exploring the Role of AI in Modern Legal Practice: Opportunities, Challenges, and Ethical Implications. Journal of Electrical Systems. https://doi.org/10.52783/jes.3320
  • Nielsen, A., Skylaki, S., Norkute, M., & Stremitzer, A. (2024). Building a better lawyer: Experimental evidence that artificial intelligence can increase legal work efficiency. Journal of Empirical Legal Studies, 21 (4), 979-1022. https://doi.org/10.1111/jels.12396
  • Nurudeen, M. O., Latilo, A., Imosemi, H. O., & Imosemi, Q. A. (2024). Integrative legal operating model design: Incorporating ai and blockchain in legal practice. 2(1), 001-016. https://doi.org/10.58175/gjrms.2024.2.1.0036
  • Nweke, O. C., & Nweke, G. I. (2024). Legal and Ethical Conundrums in the AI Era: A Multidisciplinary Analysis. International Law Research. https://doi.org/10.5539/ilr.v13n1p1
  • Pasupuleti, M. K. (2024a). AI and Blockchain in Law: Shaping the Future of Legal Practice. 307-325. https://doi.org/10.62311/nesx/46649
  • Pasupuleti, M. K. (2024b). AI and quantum jurisprudence: Transforming modern law and revolutionizing legal analysis for the future. In AI and the law: Navigating legal analysis in the quantum age (pp. 106-124). National Education Services. https://doi.org/10.62311/nesx/17939
  • Prakash, A. G., & Nair, V. (2024). Integrating generative AI into legal education: From casebooks to code, opportunities and challenges. Law Technology and Humans, 6(3), 60-79. https://doi.org/10.5204/lthj.3640
  • Prakash, I., Anastasiadou, I., Gauci, J.-P., & MacAlpine, H. (2024.). Use of artificial intelligence in legal practice. The British Institute of International and Comparative Law. Retrieved from https://www.biicl.org/documents/170_use_of_artificial_intelligence_in_legal_practice_final.pdf
  • Purushothaman, S. (2024). Artificial intelligence revolution in law: shaping justice for tomorrow (pp. 147-158). https://doi.org/10.58532/v3bisop2ch4
  • Qutieshat, E., Qtaishat, A., Quteishat, A. M., & Al-Adwan, M. (2024). Exploring the role of AI in modern legal practice: Opportunities, challenges, and ethical implications. Journal of Electrical Systems, 20(6s). https://doi.org/10.52783/jes.3320
  • Qutueshat, E. M. A., Quteishat, A., & Qtaishat, A. (2024). Transforming the Judicial System: The Impact of Machine Learning on Legal Processes and Outcomes. International Journal of Religion, 5(11), 6833-6841. https://doi.org/10.61707/9gtxnr11
  • Rajasekar, K. P., & Vezhaventhan, D. (2024). Artificial Intelligence Revolutionizing Legal and Forensic Practices: A Comprehensive Analysis. 1-12. https://doi.org/10.1109/icccnt61001.2024.10724685
  • Regalia J., (2024). From Briefs to Bytes: How Generative AI is Transforming Legal Writing and Practice, 59 Tulsa L. Rev. 193
  • Remus, D., & Levy, F. S. (2016). Can Robots Be Lawyers? Computers, Lawyers, and the Practice of Law. Georgetown Journal of Legal Ethics, 30(3), 501-558.
  • Rodrigues, L. C., da Silva, R. D., Espinosa, S. M., & Riscarolli, V. (2024). Artificial Intelligence, Ethics and Speed Processing in the Law System. Journal ofLaw and Corruption Review, 6, e084. https://doi.org/10.37497/corruptionreview.6.2024.84
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  • Sharma, P. (2024). Top 10 AI tools for legal professionals. Analytics Insight. Retrieved from https://www.analyticsinsight.net/artificial-intelligence/top-10-ai-tools-for-legal-professionals
  • Singh, D., Kumar, S., Singh, R., Kaushik, T. K., & Tomer, A. (2024). Application of Machine Learning BasedAssumptionsinLegalProfession-AnAppraisal. https://doi.org/10.1109/ic3se62002.2024.10593058
  • Sreelatha, A., & Choudhary, G. (2023). Exploring the use of AI in legal decision making: Benefits and ethical implications. Woxsen University. Retrieved from https://woxsen.edu.in/research/white- papers/exploring-the-use-of-ai-in-legal-decision-making-benefits-and-ethical- implications/?utm source=chatgpt.com
  • Sreerama, J., & Krishnamoorthy, G. (2022). Ethical considerations in AI: Addressing bias and fairness in machine learning models. Journal ofKnowledge Learning and Science Technology, 1(1), 130-138. https://doi.org/10.60087/jklst.vol1.n1.p138
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  • Susskind, R. (2010). The End of Lawyers? Rethinking the Nature of Legal Services. Oxford University Press. Susskind, R., & Susskind, D. (2022). The Future of the Professions: How Technology Will Transform the Work ofHuman Experts. Oxford University Press.
  • The Times. (2024). AI in Policing: How Bedfordshire is using technology to combat crime. The Times. Available at: https://www.thetimes.co.uk/article/ai-there-youre-nicked-tech-is-reshaping- how-we-fight-crime-jb9bv7qh3
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  • Zhang, Q. J., Chen, S., & Song, T. (2023). A Literature Analysis of the Application ofArtificial Intelligence in Judicial Adjudication (pp. 248-255). Springer Science+Business Media. https://doi.org/10.1007/978-981-99-7587-7_21
Toplam 73 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Bilgi Sistemleri Felsefesi, Araştırma Yöntemleri ve Teori
Bölüm Derleme
Yazarlar

Yousef Abuzir 0000-0002-1220-1411

Gönderilme Tarihi 29 Ocak 2025
Kabul Tarihi 2 Haziran 2025
Yayımlanma Tarihi 2 Ağustos 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 8 Sayı: 1

Kaynak Göster

APA Abuzir, Y. (2025). Artificial Intelligence in Legal Practice: Applications, Challenges, and Future Prospects. Journal of Business in The Digital Age, 8(1), 33-57. https://doi.org/10.46238/jobda.1629307

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