The Impact of Artificial Intelligence on the Legal Field
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Artificial Intelligence (AI) has experienced exponential growth in recent decades, with its influence permeating various sectors, including the legal field. This study aims to systematically explore the multifaceted impacts of AI on legal practice, judicial decision- making, legal education, and related ethical-legal challenges. Adopting qualitative research methods, the study integrates literature review (covering 2018–2023 Chinese and English core journals and authoritative reports), case analysis (e.g., U.S. COMPAS bail algorithm, China’s Beijing Internet Court AI system), and data synthesis (from official sources like the Supreme People’s Court of China and the American Bar Association). Findings reveal that AI significantly enhances efficiency in legal retrieval (via NLP and machine learning), improves the accuracy of case analysis (through pattern recognition in historical cases), expands access to legal consultation (via intelligent chatbots), and innovates legal education (through VR/AR immersive learning). However, AI application also raises critical issues: algorithmic bias in judicial decisions, unclear legal status of AI entities, and potential displacement of legal practitioners. To address these challenges, the study proposes policy recommendations, including establishing AI judicial oversight mechanisms and formulating technology-neutral legal norms. This research contributes to bridging the gap between AI technological development and legal system adaptation, providing theoretical guidance for the sustainable integration of AI and law.
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Referensi
American Bar Association (ABA). (2022). AI in Legal Practice: A Survey of U.S. Lawyers. https://www.americanbar.org/groups/litigation/resources/ai-in-litigation/
American Bar Association (ABA). (2023). AI Reskilling Initiative: Program Guide. https://www.americanbar.org/groups/professional_development/resources/ai-reskilling/
American College of Trial Lawyers. (2021). The Future of Litigation: A Survey of Trial Lawyers. https://www.actl.com/Resource-Center/The-Future-of-Litigation/
Angwin, J., Larson, J., Mattu, S., & Kirchner, L. (2016). Machine bias: Risk assessments in criminal sentencing. ProPublica. https://www.propublica.org/article/machine-bias-risk-assessments-in- criminal-sentencing
Amazon Legal. (2023). Amazon Legal Tech Lab: Innovating for the Future of Law. https://aws.amazon.com/legal/legal-tech-lab/
Armor, J., & Sako, M. (2020). AI-enabled business models in legal services: From traditional law firms to next-generation law companies? Journal of Professions and Organization, 7(1), 27–46. https://doi.org/10.1093/jpo/joaa001
Atkinson, K., Bench-Capon, T., & Bollegala, D. (2020). Explanation in AI and law: Past, present and future. Artificial Intelligence, 289, 103387. https://doi.org/10.1016/j.artint.2020.103387
Balkin, J. M. (2018). Robot Law. Harvard University Press. https://doi.org/10.4159/9780674983886 Bibal, A., Lognoul, M., De Streel, A., & Frénay, B. (2021). Legal requirements on explainability in
machine learning. Artificial Intelligence and Law, 29, 149–169. https://doi.org/10.1007/s10506- 020-09270-4
Bryson, J. J. (2020). The artificial intelligence of the ethics of artificial intelligence. In M. Peterson (Ed.), The Oxford Handbook of Ethics of AI (pp. 353–374). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780190067397.013.1
Burrell, J. (2016). How the machine “thinks”: Understanding opacity in machine learning algorithms.
Big Data & Society, 3(1), 1–12. https://doi.org/10.1177/2053951715622514 Carlton Reid. (2017, March 14). How the bicycle beats evolution. BIKEBOOM.COM.
http://www.bikeboom.info/efficiency/
Chen, Y., & Wang, L. (2021). AI in Chinese smart courts: Efficiency, fairness, and challenges. China Legal Science, 9(2), 45–62. https://doi.org/10.1017/cls.2021.3
Chandra, G., Gupta, R., & Agarwal, N. (2020). Role of artificial intelligence in transforming the justice delivery system in COVID-19 pandemic. International Journal on Emerging Technologies, 11(3), 344–350. https://doi.org/10.30534/ijet/2020/1133420
Consumer Reports. (2023). Legal Services Satisfaction Survey: 2023 Results. https://www.consumerreports.org/legal-services/
Creswell, J. W. (2018). Qualitative Inquiry and Research Design: Choosing Among Five Approaches (4th ed.). SAGE Publications. https://doi.org/10.4135/9781506330231
Cui, Y. (2020). Application of AI in judicial practice. In Y. Cui & H. Zhang (Eds.), Artificial Intelligence and Judicial Modernization (pp. 23–45). Springer. https://doi.org/10.1007/978-981- 32-9880-4_2
DoNotPay. (2023). 2023 Annual Report: Empowering Consumers Through AI Legal Tools. https://www.donotpay.com/annual-report-2023/
Edwards, L. (2018). Automating Justice: AI and the Future of the Legal System. Oxford University
Press. https://doi.org/10.1093/oso/9780198828034.001.0001
European Union. (2024). Regulation (EU) 2024/1024 on Artificial Intelligence (AI Act). https://eur- lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32024R1024
Federal Judicial Center (FJC). (2023). Guide to AI in Federal Courts. https://www.fjc.gov/public/pdf.nsf/lookup/AI_Guide.pdf/$file/AI_Guide.pdf
Floridi, L. (2020). The Ethics of AI: A Geometric Analysis of Five Principles. Oxford University Press. https://doi.org/10.1093/oso/9780198851956.001.0001
Gartner. (2022). Legal Tech Roadmap: 2022–2027. https://www.gartner.com/en/documents/4015157 Google Legal Blog. (2023). Hiring AI Ethics Advisors to Strengthen Trust in AI.
https://blog.google/around-the-globe/google-europe/hiring-ai-ethics-advisors-strengthen-trust-ai/ Grand View Research. (2024). Artificial Intelligence (AI) Market Size Report, 2024–2030.
https://www.grandviewresearch.com/industry-analysis/artificial-intelligence-ai-market Harvard Law School. (2023). Course Catalog: AI and Law. https://hls.harvard.edu/course-
catalog/courses/ai-and-law/
Huq, A. Z. (2021). Artificial intelligence and the rule of law. Public Law and Legal Theory Working Paper Series, (764), 1–14. https://doi.org/10.2139/ssrn.3802452
International Bar Association (IBA). (2023). Global Legal Tech Network: Launch Announcement. https://www.ibanet.org/News/Global_Legal_Tech_Network_Launched.aspx
LegalRobot. (2023). AI Contract Drafting: 2023 User Guide. https://www.legalrobot.com/guides/ai- contract-drafting/
Lessig, L. (1999). Code and Other Laws of Cyberspace. Basic Books. https://doi.org/10.1002/(SICI)1520-6679(199924)2:4<191::AID-ECLR191>3.0.CO;2-8
Lessig, L. (2020). Code is law 2.0: Regulating AI in the digital age. Harvard Journal of Law & Technology, 33(2), 401–432. https://doi.org/10.2139/ssrn.3556789
LexisNexis. (2023). Westlaw Edge AI Assistant: Product Overview. https://www.lexisnexis.com/en- us/products/westlaw-edge.page
Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic Inquiry. SAGE Publications. https://doi.org/10.4135/9781412983311
Liu, M., & Zhang, H. (2022). Algorithmic bias in Chinese sentencing: A study of rural-urban disparities. Artificial Intelligence and Law, 30(3), 315–338. https://doi.org/10.1007/s10506-022- 09295-8
Liu, M., Wang, Q., & Li, J. (2023). NLP-based legal retrieval: A comparative study of Westlaw Edge and LexisNexis Context. IEEE Transactions on Neural Networks and Learning Systems, 34(5), 2345–2358. https://doi.org/10.1109/TNNLS.2022.3192234
Marx, L. (2017). Technology: The Emergence of a Hazardous Concept. MIT Press. https://doi.org/10.7551/mitpress/9780262036280.001.0001
McKinsey & Company. (2023). Legal Tech: The Future of Law—2023 Report. https://www.mckinsey.com/industries/legal-services/our-insights/legal-tech-the-future-of-law- 2023-report
Medvedeva, M., Vols, M., & Wieling, M. (2020). Using machine learning to predict decisions of the European Court of Human Rights. Artificial Intelligence and Law, 28(2), 237–266. https://doi.org/10.1007/s10506-019-09255-y
Ministry of Justice China. (2023). Legal AI Assistant: 2023 Usage Report. https://www.moj.gov.cn/zhuanti/ajys/
Ministry of Justice Japan. (2023). Experimental Use of AI in Small Claims Court: 2023 Pilot Program. https://www.moj.go.jp/english/todays_topic/2023/20230615_01.html
Miller, R. (2022). Civil law vs. common law: How legal traditions shape AI adoption. Journal of Comparative Law, 17(1), 56–78. https://doi.org/10.1093/jclaw/jvac005
National Institute of Justice. (2021). Racial Disparities in Arrest Rates: 2021 Statistical Report. https://www.nij.gov/topics/law-enforcement/arrests/pages/racial-disparities.aspx
OpenAI. (2023). ChatGPT-4 Legal: Product Documentation. https://openai.com/research/chatgpt-4- legal
Peking University Law School. (2023). 2023–2024 Course Catalog: AI and Law. https://law.pku.edu.cn/english/courses/2023-2024.html
Pretrial Justice Institute. (2022). The Cost of Pretrial Detention in the United States.
https://www.pretrial.org/resources/the-cost-of-pretrial-detention/ ProPublica. (2016). Machine Bias: Risk Assessments in Criminal Sentencing.
https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing Robles Carrillo, M. (2020). Artificial intelligence: From ethics to law. Telecommunications Policy,
44(6), 101937. https://doi.org/10.1016/j.telpol.2020.101937
Smith, J. (2023). AI-generated contracts: Challenges for the doctrine of offer and acceptance. Harvard Journal of Law & Technology, 36(1), 123–156. https://doi.org/10.2139/ssrn.4321567
Small Business Administration (SBA). (2023). Legal Tech Grant Program for Small Firms. https://www.sba.gov/funding-programs/grants/legal-tech-grant-program
Stanford Technology Law Review. (2019). Developing Artificially Intelligent Justice (R. M. Re & A. Solow-Niederman, Eds.). https://stanford.io/3LjWbCw
Supreme Court of India. (2023). Annual Report 2022–2023: Caseload Statistics. https://www.sci.gov.in/annual-reports
Supreme People’s Court of China. (2023). Smart Court Construction Plan (2023–2025). https://www.court.gov.cn/zixun-xiangqing-377311.html
United Nations Commission on International Trade Law (UNCITRAL). (2023). AI and International Commercial Law: Report of the Secretariat. https://uncitral.un.org/en/commission/working_groups/1/ai_commercial_law
van der Sloot, B. (2022). AI and data protection: The GDPR’s challenges for legal tech. International Data Privacy Law, 12(2), 145–162. https://doi.org/10.1093/idpl/ipac007
Vandergrift, L., & Goh, C. C. (2012). Teaching and learning second language listening: Metacognition in action. Routledge. https://doi.org/10.4324/9780203129043
Vandergrift, L., & Tafaghodtari, M. H. (2010). Teaching L2 learners how to listen does make a difference: An empirical study. Language Learning, 60(2), 470–497. https://doi.org/10.1111/j.1467-9922.2009.00559.x
Wagner, B. (2018). Ethics as an escape from regulation: From ethics-washing to ethics-shopping? In
M. Hildebrandt (Ed.), Being Profiled: Cogitas Ergo Sum (pp. 189–210). Amsterdam University Press. https://doi.org/10.5117/9789462984287/ch09
White House. (2022). Blueprint for an AI Bill of Rights. https://www.whitehouse.gov/ostp/ai-bill-of- rights/
World Bank. (2021). Access to Justice for All: 2021 Global Report. https://www.worldbank.org/en/topic/governance/brief/access-to-justice
World Justice Project. (2022). Rule of Law Index 2022: Access to Justice. https://worldjusticeproject.org/rule-of-law-index/country/compare
Zhang, H., & Wang, Y. (2022). AI case analysis in Chinese civil law: Accuracy and challenges. China Journal of Law & Technology, 7(3), 78–95. https://doi.org/10.1017/cjt.2022.4
Zuiderveen Borgesius, F. J. (2020). Strengthening legal protection against discrimination by algorithms and artificial intelligence. The International Journal of Human Rights, 24(10), 1572– 1593. https://doi.org/10.1080/13642987.2020.1743976