Inteligencia artificial en la función judicial: revisión sistemática de la literatura y sus implicaciones en el caso del ChatBot CURIA
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La presente investigación consiste en una revisión sistemática de la literatura acerca de la aplicación de herramientas de inteligencia artificial (IA) en el ámbito judicial, con el propósito de analizar su influencia en la eficiencia de la administración de justicia, la gestión de la información jurídica y el apoyo a la toma de decisiones. En este contexto, se examinan diversos sistemas de asistencia basados en IA, entre ellos el ChatBot CURIA implementado por el Poder Judicial del Perú, concebido como una herramienta especializada para la investigación jurídica inteligente, cuyo propósito es asistir a los operadores de justicia sin reemplazar la función jurisdiccional ni la facultad decisoria de los jueces. La investigación adopta un enfoque cualitativo mediante una revisión sistemática de estudios científicos publicados en bases de datos internacionales de alta calidad y prestigio entre 2020 y 2026. Los resultados indican que las aplicaciones basadas en procesamiento del lenguaje natural (PLN), big data y modelos de IA contribuyen a reducir la carga de trabajo jurisdiccional y a mejorar el acceso a la información jurídica y la jurisprudencia. Sin embargo, también se identifican riesgos relacionados con el sesgo algorítmico, la transparencia, la protección de datos y la independencia judicial. El estudio ofrece una evaluación crítica y sistemática de la integración de la IA en la función judicial, proponiendo criterios para su implementación
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Alikhademi, K., Drobina, E., Prioleau, D., Richardson, B., Purves, D., & Gilbert, J. E. (2021). A Review of Predictive Policing from the Perspective of Fairness. Artificial Intelligence And Law, 30(1), 1-17. https://doi.org/10.1007/s10506-021-09286-4
Arar, Ö. F., & Ayan, K. (2017). A Feature Dependent Naive Bayes Approach and Its Application to the Software Defect Prediction Problem. Applied Soft Computing, 59, 197-209. https://doi.org/10.1016/j.asoc.2017.05.043
Baclic, O., Tunis, M., Young, K., Doan, C., & Swerdfeger, H. (2020). Challenges and Opportunities for Public Health Made Possible by Advances in Natural Language Processing. Canada Communicable Disease Report, 46(6), 161-168. https://doi.org/10.14745/ccdr.v46i06a02
Battineni, G., Chougule, S. N., Kataria, A., & Goyal, L. M. (2025). Navigating Ethics and Legalities in Artificial Intelligence: Challenges, Frameworks, and Future Directions. In M. Mittal & B. Bhushan (Eds.). Generative AI in Healthcare: Concepts, Methodologies, Tools, and Applications. Studies in Computational Intelligence (Vo. 1234, pp. 293-315). Springer. https://doi.org/10.1007/978-981-95-2129-6_12
Benbouzid, B. (2019). To Predict and to Manage: Predictive Policing in the United States. Big Data & Society, 6(1). https://doi.org/10.1177/2053951719861703
Benedikter, R., & Cruz-Infante, C. (2026). AI in Latin America: Attempts of Regulating Artificial Intelligence within the Geopolitical Paradigm of Active Non-Alignment (ANA). A Critical Review. Journal Of Transatlantic Studies, 24(1). https://doi.org/10.1057/s42738-026-00156-y
Bhattacharya, B., Bhattacharjee, R., Bhattacharya, S., & Islam, M. B. (2025). The Impact of Artificial Intelligence on Legal and Jurisdictional Challenges. In M. Chakraborty, S. P. Chakrabarty, A. Penteado & V. E. Balas (Eds.). Proceedings of 5th International Ethical Hacking Conference. eHaCON 2024. Lecture Notes in Networks and Systems (Vol. 1148, pp. 351-363). Springer. https://doi.org/10.1007/978-981-97-8457-8_23
Broeders, D., Schrijvers, E., van der Sloot, B., van Brakel, R., de Hoog, J., & Ballin, E. H. (2017). Big Data and Security Policies: Toward a Framework for Regulating the Phases of Analytics and Use of Big Data. Computer Law & Security Review, 33(3), 309-323. https://doi.org/10.1016/j.clsr.2017.03.002
Chalkidis, I., & Kampas, D. (2018). Deep Learning in Law: Early Adaptation and Legal Word Embeddings Trained on Large Corpora. Artificial Intelligence and Law, 27(2), 171-198. https://doi.org/10.1007/s10506-018-9238-9
Chen, Q. (2025). Improving the Trial Efficiency of Criminal Cases with the Assistance of Artificial Intelligence. Discover Artificial Intelligence, 5(1). https://doi.org/10.1007/s44163-025-00353-2
Chotcomwongse, P., Srisawat, C., & Theeramunkong, T. (2024). Automated Legal Article Classification Using Natural Language Processing and Deep Learning. Engineering Journal, 28(3), 1-13. https://doi.org/10.4186/ej.2024.28.3.1
Chowdhary, K. R. (2020). Natural Language Processing. In Fundamentals of Artificial Intelligence (pp. 603-649). Springer. https://doi.org/10.1007/978-81-322-3972-7_19
da Silva, S. S. F., & Pereira, J. D. (2025). A ética da inteligência artificial no direito: reflexões à luz da filosofia do direito e dos fundamentos da justiça. Revista Foco, 18(12), e10887. https://doi.org/10.54751/revistafoco.v18n12-061
Douilhet, E., & Karanasiou, A. P. (2018). Legal Responses to the Commodification of Personal Data in the Era of Big Data: The Paradigm Shift from Data Protection towards Data Ownership. In I. Management Association (Ed.). Web Services: Concepts, Methodologies, Tools, and Applications (pp. 2076-2085). IGI Global Scientific Publishing. https://doi.org/10.4018/978-1-5225-7501-6.ch106
Freire, D. L., De Almeida, A. M. G., De S Dias, M., Rivolli, A., Pereira, F. S. F., De Godoi, G. A., & De Carvalho, A. C. P. L. F. (2024). Towards Automated Classification of Repetitive Themes in Brazilian Courts with Legal Class. In Á. Rocha, C. Ferrás, J. Hochstetter Diez & M. Diéguez Rebolledo (Eds.). Information Technology and Systems. ICITS 2024. Lecture Notes in Networks and Systems (Vol. 933, pp. 247-257). Springer. https://doi.org/10.1007/978-3-031-54256-5_23
Gromova, E. A., Ferreira, D. B., & Begishev, I. R. (2023). ChatGPT and Other Intelligent Chatbots: Legal, Ethical and Dipute Resolution Concerns. Revista Brasileira de Alternative Dispute Resolution, 5(10), 153-175. https://doi.org/10.52028/rbadr.v5i10.art07.ru
Halaburda, N., Radchenia, N., & Pahlevanzade, A. (2025). State Regulation of the Use of Artificial Intelligence: Civil Law and Economic and Legal Aspects. Baltic Journal of Economic Studies, 11(4), 294-303. https://doi.org/10.30525/2256-0742/2025-11-4-294-303
Han, Q., Kou, Y., & Snaidauf, D. (2019). Experimental Evaluation of CNN Parameters for Text Categorization in Legal Document Review. 2019 IEEE International Conference on Big Data (Big Data) (pp. 4320-4324). Wiley-IEEE Press. https://doi.org/10.1109/bigdata47090.2019.9006182
Han, Q., & Snaidauf, D. (2021). Comparison of Deep Learning Technologies in Legal Document Classification. In 2021 IEEE International Conference on Big Data (Big Data) (pp. 2701-2704). Wiley-IEEE Press. https://doi.org/10.1109/bigdata52589.2021.9671486
He, M., & Chen, Y. (2025). Personal Data Protection in China: Progress, Challenges and Prospects in the Age of Big Data and AI. Telecommunications Policy, 49(10), 103076. https://doi.org/10.1016/j.telpol.2025.103076
Hellman, D. (2023). Big Data and Compounding Injustice. Journal Of Moral Philosophy, 21(1-2), 62-83. https://doi.org/10.1163/17455243-20234373
Huanca, R. (2023). El principio de celeridad procesal y el acceso a la justicia en el sistema judicial peruano. Revista Jurídica del Perú, 43(2), 17-35.
Kaczmarczyk, A., Libal, T., & Smywiński-Pohl, A. (2024). A Legal Assistant for Accountable Decision-Making. In J. Savelka, J. Harasta, T. Novotna & J. Misek (Eds.). Legal Knowledge and Information Systems (Vol. 395, pp. 378-380). IOS Press. https://doi.org/10.3233/faia241275
Keeling, R., Chhatwal, R., Huber-Fliflet, N., Zhang, J., Wei, F., Zhao, H., Shi, Y., & Qin, H. (2019). Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review. In 2019 IEEE International Conference on Big Data (Big Data) (pp. 2038-2042). Wiley-IEEE Press. https://doi.org/10.1109/bigdata47090.2019.9006248
Kelly, E. P., & Tastle, W. J. (2004). E-Government and the Judicial System: Online Access to Case Information. Electronic Government: An International Journal, 1(2), 166-178. https://doi.org/10.1504/eg.2004.005176
Kerdvibulvech, C. (2024). Big Data and AI-Driven Evidence Analysis: A Global Perspective on Citation Trends, Accessibility, and Future Research in Legal Applications. Journal of Big Data, 11(1). https://doi.org/10.1186/s40537-024-01046-w
Krasadakis, P., Sakkopoulos, E., & Verykios, V. S. (2024). A Survey on Challenges and Advances in Natural Language Processing with a Focus on Legal Informatics and Low-Resource Languages. Electronics, 13(3), 648. https://doi.org/10.3390/electronics13030648
La Torre, M., Dumay, J., & Rea, M. A. (2018). Breaching Intellectual Capital: Critical Reflections on Big Data Security. Meditari Accountancy Research, 26(3), 463-482. https://doi.org/10.1108/medar-06-2017-0154
Lebre de Freitas, J. (2020). Introdução ao processo civil: Conceito e princípios gerais (4.ª ed.). Gestlegal.
Licari, D., & Comandè, G. (2023). ITALIAN-LEGAL-BERT Models for Improving Natural Language Processing Tasks in the Italian Legal Domain. Computer Law & Security Review, 52, 105908. https://doi.org/10.1016/j.clsr.2023.105908
Laukyte, M. (2025). Fernando H. Llano Alonso, Homo Ex Machina. Ética de la inteligencia artificial y Derecho digital ante el horizonte de la singularidad tecnológica. Derechos y Libertades: Revista de Filosofía del Derecho y Derechos Humanos, 53, 345-357. https://doi.org/10.20318/dyl.2025.9468Luban, D. J. (2008). Fairness to Rightness: Jurisdiction, Legality, and the Legitimacy of International Criminal Law (Georgetown Public Law Research Paper No. 1154117). Georgetown University Law Center. https://doi.org/10.2139/ssrn.1154177
Luo, S., & Pan, L. (2026). Big Data Analysis. Springer. https://doi.org/10.1007/978-981-95-5725-7
Mahesh, B. (2020). Machine Learning Algorithms - a review. International Journal Of Science And Research (IJSR), 9(1), 381-386. https://doi.org/10.21275/art20203995
Medina Romero, M. Á., Torres Chávez, T. H. y Ochoa Figueroa, R. (2023). Aplicación de las herramientas de inteligencia artificial en la enseñanza del Derecho: consideraciones sobre su eficacia, limitaciones y desafíos. LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades, 4(3), 673-678. https://doi.org/10.56712/latam.v4i3.1105
Medvedeva, M., Vols, M., & Wieling, M. (2019). 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
Mercader Uguina, J. R. (2022). Algoritmos e inteligencia artificial en el derecho digital del trabajo. Tirant lo Blanch.
Miller, V. (2025). Students under Surveillance: Big Data Policing and Privacy Rights. Educational Researcher, 54(4), 234-237. https://doi.org/10.3102/0013189x251318346
Muldoon, J., & Wu, B. A. (2023). Artificial Intelligence in the Colonial Matrix of Power. Philosophy & Technology, 36(4), 1-24. https://doi.org/10.1007/s13347-023-00687-8
Murugan, S. K., Sundaram, P. S., Govindaraj, T., & Veeramani, S. (2025). Know Your Law (KYL): A Lawbot for Empowering Citizens. AIP Conference Proceedings, 3175(1), 020056. https://doi.org/10.1063/5.0255500
Ngige, O., Ayankoya, F., Balogun, J., Onuiri, E., Agbonkhese, C., & Sanusi, F. (2023). A Dataset for Predicting Supreme Court Judgments in Nigeria. Data in Brief, 50, 109483. https://doi.org/10.1016/j.dib.2023.109483
Oliveira, R. S. d, & Nascimento, E. G. S. (2025). Analysing Similarities between Legal Court Documents Using Natural Language Processing Approaches Based on Transformers. PLoS ONE, 20(4), e0320244. https://doi.org/10.1371/journal.pone.0320244
Oneto, L., Navarin, N., & Schleif, F. (2022). Advances in Artificial Neural Networks, Machine Learning and Computational Intelligence. Neurocomputing, 507, 311-314. https://doi.org/10.1016/j.neucom.2022.08.001
Peer, E., Brandimarte, L., Samat, S., & Acquisti, A. (2017). Beyond the Turk: Alternative Platforms for Crowdsourcing Behavioral Research. Journal of Experimental Social Psychology, 70, 153-163. https://doi.org/10.1016/j.jesp.2017.01.006
Perkins, M., & Roe, J. (2024). The Use of Generative AI in Qualitative Analysis: Inductive Thematic Analysis with ChatGPT. Journal of Applied Learning & Teaching, 7(1), 390-395. https://doi.org/10.37074/jalt.2024.7.1.22
Peykani, P., Ramezanlou, F., Tanasescu, C., & Ghanidel, S. (2025). Large Language Models: A Structured Taxonomy and Review of Challenges, Limitations, Solutions, and Future Directions. Applied Sciences, 15(14), 8103. https://doi.org/10.3390/app15148103
Pineda, J. E. (2021). Garantías procesales en la aplicación de la inteligencia artificial y el Big Data en el estándar de la prueba penal. CES Derecho, 12(1), 108-125. https://doi.org/10.21615/cesder.12.1.6
Prince-Tritto, P., & Ponce, H. (2023). Exploring the Challenges and Limitations of Unsupervised Machine Learning Approaches in Legal Concepts Discovery. In H. Calvo, L. Martínez-Villaseñor & H. Ponce (Eds.). Advances in Soft Computing (pp. 52-67). Springer. https://doi.org/10.1007/978-3-031-47640-2_5
Rahman, M. M., Gony, N., Rahman, M. M., Rahman, M. M., & Sd, M. K. S. (2025). Natural Language Processing in Legal Document Analysis Software: A Systematic Review of Current Approaches, Challenges, and Opportunities. International Journal of Innovative Research and Scientific Studies, 8(3), 5026-5042. https://doi.org/10.53894/ijirss.v8i3.7702
Rinaldin, G. (2026). From the Asilomar Principles to the AI Act: Five Years of AI Regulation and Applications in a Critical and Comparative Perspective. Physica Medica: European Journal of Medical Physics, 142, 105327. https://doi.org/10.1016/j.ejmp.2025.105327
Rolf, R. E. (2025). Using Generative Artificial Intelligence in a Contract Simulation to Promote Student Learning in Business Law. Journal of Legal Studies Education, 42(1), 7-22. https://doi.org/10.1111/jlse.12154
Salem, N., Al-Tarawneh, K., Hudaib, A., Salem, H., Tareef, A., Salloum, H., & Mazzara, M. (2024). Generating database schema from requirement specification based on natural language processing and large language model. Computer Research And Modeling, 16(7), 1703-1713. https://doi.org/10.20537/2076-7633-2024-16-7-1703-1713
Singh, D., Tomer, A., Kaushik, T. K., Singh, R., & Kumar, S. (2024). The Potential Applications of Artificial Intelligence and Machine Learning in India’s Legal System. In 2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE) (pp. 820-826). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ic3se62002.2024.10592961
Socol de la Osa, D. U., & Remolina, N. (2024). Artificial Intelligence at the Bench: Legal and Ethical Challenges of Informing—or Misinforming—Judicial Decision-Making through Generative AI. Data & Policy, (6), e59. https://doi.org/10.1017/dap.2024.53
Solar Cayón, J. I. (2021). La inteligencia artificial en la práctica jurídica: Automatización y aprendizaje automático en el derecho. Aranzadi.
Hon, W. K., Millard, C., Singh, J., Walden, I., & Crowcroft, J. (2016). Policy, legal and regulatory implications of a Europe-only cloud. International Journal Of Law And Information Technology, 24(3), 251-278. https://doi.org/10.1093/ijlit/eaw006
Stępień-Załucka, B. (2025). Algorithms and Artificial Intelligence as a Threat to Fundamental Rights. En Algoritmos e inteligencia artificial como amenaza a los derechos fundamentales (pp. 1-12). https://doi.org/10.1007/978-3-319-31739-7_233-1
Su, J. (2023). The Use of Big Data in Criminal Justice and Its Challenges. Peking University Law Journal, 11(1), 105-125. https://doi.org/10.1080/20517483.2023.2223851
Талапина, Э. (2025). Прозрачность алгоритмов искусственного интеллекта. Law Journal of the Higher School of Economics, 18(3), 4-27. https://doi.org/10.17323/2072-8166.2025.3.4.27
Tong, A., Liu, Y., & Zhang, W. (2026). Generative AI in Judicial Processes: Efficiency, Accuracy, and Consistency Analysis. Journal of Artificial Intelligence and Law, 34(2), 1-19. https://doi.org/10.1007/s44196-025-00789-3
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., . . . Alonso-Fernández, S. (2021). Declaración PRISMA 2020: una guía actualizada para la publicación de revisiones sistemáticas. Revista Española de Cardiología, 74(9), 790-799. https://doi.org/10.1016/j.recesp.2021.06.016
Urueña, R. (2019). Autoridad algorítmica: ¿cómo empezar a pensar la protección de los derechos humanos en la era del “big data”? Latin American Law Review, (2), 99-124. https://doi.org/10.29263/lar02.2019.05
Van Der Aa, H., Di Ciccio, C., Leopold, H., & Reijers, H. A. (2019). Extracting Declarative Process Models from Natural Language. En Lecture notes in computer science (pp. 365-382). https://doi.org/10.1007/978-3-030-21290-2_23
Venkadapathi, V., Murugan, S., Shanmugavel, S. B., Veeriaya, D., & Balaganapathy, R. (2026). Machine Learning in Law: Unveiling the AHKPSV Algorithm for Improved Legal Case Outcome Forecasts. International Journal of Machine Learning and Cybernetics, 17(2), 81. https://doi.org/10.1007/s13042-025-02959-5
Wan, X., & Jin, P. (2020). Judicial Statistics Based on Big Data Context. In M. Atiquzzaman, N. Yen & Z. Xu (Eds.). Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2019. Advances in Intelligent Systems and Computing (Vol. 1117, pp. 877-884). Springer. https://doi.org/10.1007/978-981-15-2568-1_119
Wang, Y., Gao, J., & Chen, J. (2020). Deep Learning Algorithm for Judicial Judgment Prediction Based on BERT. In 2020 5th International Conference on Computing, Communication and Security (ICCCS) (pp. 1-6). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/icccs49678.2020.9277068
Wang, Z. (2023). Law Case Teaching Combining Big Data Environment with SPSS Statistics. International Journal of Web-Based Learning and Teaching Technologies, 19(1), 1-15. https://doi.org/10.4018/ijwltt.334848
Wei, L. (2022). Construction of the Interactive Relationship between Law Enforcement and Legislation Based on the Background of Big Data. Mathematical Problems in Engineering, 2022, 1-6. https://doi.org/10.1155/2022/6888268
Wen, L. (2022). Development Analysis of Cross-Border E-Commerce Logistics Based on Big Data Technology Under Safety Law Protection. International Journal of Information Systems in the Service Sector, 14(2), 1-14. https://doi.org/10.4018/ijisss.290547
Wickramasinghe, I., & Kalutarage, H. (2020). Naive Bayes: Applications, Variations and Vulnerabilities. Soft Computing, 25(3), 2277-2293. https://doi.org/10.1007/s00500-020-05297-6
Wu, W., & Zhao, Y. (2025). Big Data Grace: Implementations of Feature Engineering and Data Science Algorithms for Environmental Protection Law. Alexandria Engineering Journal, 125, 256-264. https://doi.org/10.1016/j.aej.2025.03.121
Alakbarova, I., & Alizada, D. (2024b). A New Approach to Improving Search Efficiency in Digital Libraries. International Journal Of Intelligent Systems And Applications, 16(2), 13-23. https://doi.org/10.5815/ijisa.2024.02.02
Xu, J. (2021). Research on Judicial Big Data Text Mining and Sentencing Prediction Model. Journal of Physics: Conference Series, 1883(1), 012158. https://doi.org/10.1088/1742-6596/1883/1/012158
Yadav, U., & Kumar, R. (2025). Comprehensive Analysis of Artificial Intelligence in Context of Judicial System in India. AIP Conference Proceedings, 3335(1), 030036. https://doi.org/10.1063/5.0295077
Yuan, X., Chen, Y., & Zou, B. (2025). Research on Prediction of Legal Decisions Based on Graph Neural Network with Attention Mechanism. In 2025 3rd International Conference on Data Science and Network Security (ICDSNS) (pp. 1-5). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/icdsns65743.2025.11168770
Zhang, C., & Xu, Y. (2023). Institutional Innovation Essence and Knowledge Innovation Goal of Intellectual Property Law in the Big Data Era. Journal of Innovation & Knowledge, 8(4), 100417. https://doi.org/10.1016/j.jik.2023.100417
Zhang, Y., Jiang, J., & Li, Y. (2023). Intelligent Analysis and Application of Judicial Big Data Sharing Based on Blockchain. In Proceedings of the International Conference on Artificial Intelligence and Big Data (ICAIBD) (pp. 592-596). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/icaibd57115.2023.10206326
Zheng, L. (2025). Fairness Verification Algorithms and Bias Mitigation Mechanisms for AI Criminal Justice Decision Systems. Journal of Computational Methods in Sciences and Engineering. https://doi.org/10.1177/14727978251385141
Ződi, Z. (2017). Law and Legal Science in the Age of Big Data. Intersections. East European Journal of Society and Politics, 3(2). https://doi.org/10.17356/ieejsp.v3i2.324