The role of artificial intelligence in judicial decision-making: a systematic review
Keywords:
Artificial intelligence, judicial decision-making, law, automated judicial systemsAbstract
The use of artificial intelligence in the judiciary is progressively transforming the way legal cases are analyzed, processed, and resolved. This study aims to provide a comprehensive overview of artificial intelligence technologies currently supporting judicial decision-making. Through a systematic review based on the PRISMA methodology, 115 relevant studies published over the past five years were selected and analyzed. The findings show that the implementation of technologies such as natural language processing, machine learning, deep learning, and large language models facilitates tasks such as sentence prediction and jurisprudential analysis, thereby contributing to more informed judicial decisions. Finally, several international regulatory frameworks are presented that define and guide the use of these technological tools in the judicial domain.
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1. Campbell RW. Artificial Intelligence in the Courtroom: The Delivery of Justice in the Age of Machine Learning [Internet]. Rochester, NY: Social Science Research Network; 2020 [citado 31 mar 2025]. Disponible en: https://papers.ssrn.com/abstract=4425791
2. Gravett WH. Judicial Decision-Making in the Age of Artificial Intelligence. En: Sousa Antunes H, Freitas PM, Oliveira AL, Martins Pereira C, Vaz de Sequeira E, Barreto Xavier L, editores. Multidisciplinary Perspectives on Artificial Intelligence and the Law [Internet]. Cham: Springer International Publishing; 2024 [citado 11 mar 2025]:281-97. Disponible en: https://doi.org/10.1007/978-3-031-41264-6_15
3. Sushina T, Sobenin A. Artificial Intelligence in the Criminal Justice System: Leading Trends and Possibilities. En Atlantis Press; 2020 [citado 28 mar 2025]:432-7. Disponible en: https://www.atlantis-press.com/proceedings/icseal-6-19/125940991
4. Hassani H, Silva ES, Unger S, TajMazinani M, Mac Feely S. Artificial Intelligence (AI) or Intelligence Augmentation (IA): What Is the Future? AI [Internet]. junio de 2020 [citado 31 mar 2025];1(2):143-55. Disponible en: https://www.mdpi.com/2673-2688/1/2/8
5. Caiafa CF, Lew SE. ¿Qué es la Inteligencia Artificial? Boletín Radio@stronómico [Internet]. junio de 2020 [citado 31 mar 2025];69(6):1-7. Disponible en: https://ri.conicet.gov.ar/handle/11336/110093
6. De Cremer D, Kasparov G. AI should augment human intelligence, not replace it. Harvard Business Review [Internet]. 2021 [citado 31 mar 2025];18(1):1-8. Disponible en: https://www.daviddecremer.com/wp-content/uploads/HBR2021_AI-Should-Augment-Human-Intelligence-Not-Replace-It.pdf
7. Kabir S, Alam M. The Role of AI Technology for Legal Research and Decision Making. International Research Journal of Engineering and Technology (IRJET) [Internet]. 2023 [citado 28 mar 2025];10(7):1088-92. Disponible en: https://www.researchgate.net/publication/372790308_The_Role_of_AI_Technology_for_Legal_Research_and_Decision_Making
8. Morison J, Harkens A. Re-engineering justice? Robot judges, computerised courts and (semi) automated legal decision-making. Legal Studies [Internet]. diciembre de 2019 [citado 28 mar 2025];39(4):618-35. Disponible en: https://www.cambridge.org/core/journals/legal-studies/article/abs/reengineering-justice-robot-judges-computerised-courts-and-semi-automated-legal-decisionmaking/E153E0FB25BB155B971AA38284EC7929
9. Sourdin T. Judge v Robot? Artificial intelligence and judicial decision-making. The University of New South Wales Law Journal [Internet]. 9 de noviembre de 2020 [citado 28 de mar 2025];41(4):1114-33. Disponible en: https://search.informit.org/doi/abs/10.3316/informit.040979608613368
10. Quiroga MG. La inteligencia artificial en el arbitraje internacional 2.0. Oportunidades y desafíos en un futuro que ya es presente. Cuadernos de derecho transnacional [Internet]. 3 de octubre de 2023 [citado 31 mar 2025];15(2):516-50. Disponible en: https://e-revistas.uc3m.es/index.php/CDT/article/view/8067
11. Dymitruk M. Artificial Intelligence as a Tool to Improve the Administration of Justice? Acta Universitatis Sapientiae, Legal Studies [Internet]. 2019 [citado 28 mar 2025];8(2):179-89. Disponible en: https://www.ceeol.com/search/article-detail?id=881328
12. Page MJ, Moher D, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews. BMJ [Internet]. 29 de marzo de 2021 [citado 8 feb 2024];372:n160. Disponible en: https://www.bmj.com/content/372/bmj.n160
13. Flores Padilla SD, Rivera Andrade AR, Hidalgo Cajo FR, Basantes Silva RD, Machado Ashqui. El papel de la inteligencia artificial en la toma de decisiones judiciales: una revisión sistemática [Internet]. Zenodo; 2025 [citado 8 sep 2025]. Disponible en: https://zenodo.org/records/17079897
14. Almuzaini HA, Azmi AM. TaSbeeb: A judicial decision support system based on deep learning framework. Journal of King Saud University-Computer and Information Sciences. 1 sep 2023;35(8):101695.
15. Anantathanavit R, Chongthanakorn J, Kongsantinart W, Praiwattana P, Thaipisutikul T. Utilizing AI and Natural Language Processing to Predict Supreme Court Decisions in Thailand. En: 2024 16th International Conference on Knowledge and Smart Technology (KST) [Internet]. 2024 [citado 7 mar 2025]:45-50. Disponible en: https://ieeexplore.ieee.org/abstract/document/10499665
16. Aradiel Castañeda H, Acosta De La Cruz PR, Mas Azahuanche GA, Flores Salinas JA, Carhuay Pampas EG, Torre Camones AA. Juez Robot: Un Juez Automatizado A Partir De Machine Learning Para Casos De Demanda De Alimentos En Lima. Igniting the Spark of Innovation: Emerging Trends, Disruptive Technologies, and Innovative Models for Business Success [Internet]. 11 de agosto de 2023 [citado 7 mar 2025] Disponible en: https://laccei.org/LEIRD2023-VirtualEdition/meta/fp371.html
17. Arriba-Pérez F de, García-Méndez S, González-Castaño FJ, González-González J. Explainable machine learning multi-label classification of Spanish legal judgements. Journal of King Saud University-Computer and Information Sciences. noviembre 2022;34(10):10180-92.
18. Bellandi V, Bernasconi C, Lodi F, Palmonari M, Pozzi R, Ripamonti M, et al. An entity-centric approach to manage court judgments based on Natural Language Processing. Computer Law & Security Review. 1 de abril de 2024;52:105904.
19. Budhiraja A, Sharma K. Applying Citation Analysis and Machine Learning with Real-World Documents to Improve Judicial Decision-Making. J Inf Syst Eng Manag. 2025;10:105-16.
20. Emarat A, Manaskasemsak B, Rungsawang A. Prediction of Thai Court Judgments in Criminal Cases Using Deep Neural Networks. En: Meesad P, Sodsee S, Jitsakul W, Tangwannawit S, editores. Proceedings of the 18th International Conference on Computing and Information Technology (IC2IT 2022). Cham: Springer International Publishing; 2022. p. 111-8.
21. Kalia A, Kumar N, Namdev N. Classifying Case Facts and Predicting Legal Decisions of the Indian Central Information Commission: a Natural Language Processing Approach. En: Troiano L, Vaccaro A, Tagliaferri R, Kesswani N, Díaz Rodriguez I, Brigui I, et al., editores. Advances in Deep Learning, Artificial Intelligence and Robotics. Cham: Springer International Publishing; 2022. p. 35-45.
22. Kanhaiya K, Naveen, Sharma AK, Gautam K, Rathore PS. AI Enabled- Information Retrival Engine (AI-IRE) in Legal Services: An Expert-Annotated NLP for Legal Judgements. En: 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) [Internet]. 2023 [citado 11 mar 2025]:206-10. Disponible en: https://ieeexplore.ieee.org/document/10250733
23. Metsker O, Trofimov E, Grechishcheva S. Natural Language Processing of Russian Court Decisions for Digital Indicators Mapping for Oversight Process Control Efficiency: Disobeying a Police Officer Case. En: Chugunov A, Khodachek I, Misnikov Y, Trutnev D, editores. Electronic Governance and Open Society: Challenges in Eurasia. Cham: Springer International Publishing; 2020. p. 295-307.
24. Muñoz-Soro JF, del Hoyo Alonso R, Montañes R, Lacueva F. A neural network to identify requests, decisions, and arguments in court rulings on custody. Artif Intell Law. 1 de marzo de 2025;33(1):101-35.
25. Prabhakar P, Pati PB. Extractive Summarization of Indian Legal Judgments: Bridging NLP and Generative AI for Socially Responsible Content Generation. En: Raza K, Ahmad N, Singh D, editores. Generative AI: Current Trends and Applications [Internet]. Singapore: Springer Nature; 2024 [citado 11 mar 2025]. p. 329-52. Disponible en: https://doi.org/10.1007/978-981-97-8460-8_15
26. Iniyan S, Raghuvanshi N, Maurya P. Court Judgment Prediction for Article6 Using Machine Learning. En: 2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM) [Internet]. 2024 [citado 11 mar 2025]:1-6. Disponible en: https://ieeexplore.ieee.org/document/10568611
27. Javed K, Li J. Artificial intelligence in judicial adjudication: Semantic biasness classification and identification in legal judgement (SBCILJ). Heliyon [Internet]. 15 de mayo de 2024 [citado 11 mar 2025];10(9). Disponible en: https://www.cell.com/heliyon/abstract/S2405-8440(24)06215-7
28. Magalhães D. Machine learning techniques applied to the classification of judicial decisions. Revista de Estudos Empíricos em Direito [Internet]. 1 de abril de 2022 [citado 11 mar de 2025];9. Disponible en: https://reedrevista.org/reed/article/view/1-25
29. Park M, Chai S. AI Model for Predicting Legal Judgments to Improve Accuracy and Explainability of Online Privacy Invasion Cases. Applied Sciences. enero de 2021;11(23):11080.
30. Rosili NAK, Zakaria NH, Hassan R, Kasim S, Rose FZC, Sutikno T. A systematic literature review of machine learning methods in predicting court decisions. IAES International Journal of Artificial Intelligence (IJ-AI). 1 de diciembre de 2021;10(4):1091-102.
31. Shelar A, Moharir M. Predicting Outcomes of Court Judgments - A Machine Learning Approach. En: 2021 International Conference on Intelligent Technologies (CONIT) [Internet]. 2021 [citado 11 mar 2025]:1-6. Disponible en: https://ieeexplore.ieee.org/document/9498385
32. Sukanya G, Priyadarshini J. Hybrid CNN: An Empirical Analysis of Machine Learning Models for Predicting Legal Judgments. International Journal of Advanced Computer Science and Applications (ijacsa) [Internet]. 31 de junio de 2024 [citado 27 feb 2025];15(7). Disponible en: https://thesai.org/Publications/ViewPaper?Volume=15&Issue=7&Code=ijacsa&SerialNo=124
33. Zhao Q, Gao T, Guo N. LA-MGFM: A legal judgment prediction method via sememe-enhanced graph neural networks and multi-graph fusion mechanism. Information Processing & Management. 1 de septiembre de 2023;60(5):103455.
34. Alghazzawi D, Bamasag O, Albeshri A, Sana I, Ullah H, Asghar MZ. Efficient Prediction of Court Judgments Using an LSTM+CNN Neural Network Model with an Optimal Feature Set. Mathematics. enero de 2022;10(5):683.
35. Chen X. Deep Learning-Based Intelligent Robot in Sentencing. Front Psychol [Internet]. 18 de julio de 2022 [citado 10 mar 2025];13. Disponible en: https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2022.901796/full
36. Huu PT, An NT, Trung NN, Thien HN, Duc NS, Ty NT. Judicial decision prediction using an integrated attention based bidirectional long-short term memory and dilated skip residual convolution neural network. Vis Comput [Internet]. 22 de octubre de 2024 [citado 27 feb 2025]; Disponible en: https://doi.org/10.1007/s00371-024-03655-1
37. Kumar MA, Kavitha V, Saswanth AD, Nishant D A, Ghanshala A. Court Judgement Prediction Using Long-Short Term Memory and Convolutional Neural Network. En: 2023 International Conference on Electrical, Electronics, Communication and Computers (ELEXCOM) [Internet]. 2023 [citado 11 mar 2025]:1-6. Disponible en: https://ieeexplore.ieee.org/document/10370138
38. Ma W. Artificial Intelligence-Assisted Decision-Making Method for Legal Judgment Based on Deep Neural Network. Mobile Information Systems. 2022;2022(1):4636485.
39. Pan W, Chen Y, Liu Z, Li X, Xu Z. Circumstance-Aware Graph Neural Network for Legal Judgment Prediction. En: 2023 International Conference on Asian Language Processing (IALP) [Internet]. 2023 [citado 11 mar 2025]:332-7. Disponible en: https://ieeexplore.ieee.org/document/10337257
40. Sivaranjani N, Jayabharathy J, Teja PC. Predicting the supreme court decision on appeal cases using hierarchical convolutional neural network. Int J Speech Technol. 1 de septiembre de 2021;24(3):643-50.
41. Vaissnave V, Deepalakshmi P. Comparative Analysis: Sentiment Analysis for Legal Judgment Text in India’s Supreme Court Based on GloVe Pretrained Word Embedding and Deep Learning Models. En: Kumar R, Ahn CW, Sharma TK, Verma OP, Agarwal A, editores. Soft Computing: Theories and Applications. Singapore: Springer Nature; 2022. p. 33-44.
42. Wang Y, Gao J, Chen J. Deep Learning Algorithm for Judicial Judgment Prediction Based on BERT. En: 2020 5th International Conference on Computing, Communication and Security (ICCCS) [Internet]. 2020 [citado 11 mar 2025]:1-6. Disponible en: https://ieeexplore.ieee.org/document/9277068
43. Wu J, Wang H, Sun N, Wang H, Tatarinov D. International Criminal Law Protection of Environmental Rights and Sentencing Based on Artificial Intelligence. Journal of Environmental and Public Health. 2022;2022(1):4064135.
44. Zahir J. Prediction of court decision from Arabic documents using deep learning. Expert Systems. 2023;40(6):e13236.
45. Burgess P, Williams I, Qu L, Wang W. Using Generative AI to Identify Arguments in Judges’ Reasons: Accuracy and Benefits for Students. Law, Technology and Humans. 27 de noviembre de 2024;6(3):5-22.
46. Cardoso AG, Chan E, Quintão L, Pereira C. Generative Artificial Intelligence and Legal Decisionmaking [Internet]. Rochester, NY: Social Science Research Network; 2024 [citado 10 mar 2025]. Disponible en: https://papers.ssrn.com/abstract=4982244
47. Chaudhary B, Covarrubia P, Ng GY. The judge, the AI, and the Crown: a collusive network. Information & Communications Technology Law. 1 de septiembre de 2024;33(3):330-67.
48. Farber S. AI in terrorism sentencing: evaluating predictive accuracy and ethical implications. Criminal Justice Studies. 1 de octubre de 2024;37(4):352-70.
49. Perona R, de la Rosa YC. Unveiling AI in the courtroom: exploring ChatGPT’s impact on judicial decision-making through a pilot Colombian case study. AI Soc [Internet]. 2024; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197751933&doi=10.1007%2fs00146-024-01943-x&partnerID=40&md5=b5fd7357ceb2f95bb2892ca6c461e8e1
50. Oconitrillo LRR, Vargas JJ, Camacho A, Burgos Á, Corchado JM. Ryel: An experimental study in the behavioral response of judges using a novel technique for acquiring higher-order thinking based on explainable artificial intelligence and case-based reasoning. Electronics (Switzerland) [Internet]. 2021;10(12). Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108153315&doi=10.3390%2felectronics10121500&partnerID=40&md5=18eae62bdd5cc8a78e690dcf07605d2c
51. Yamada Y. Judicial Decision-Making and Explainable AI (XAI)-Insights from the Japanese Judicial System. Studia Iuridica Lublinensia. 22 de diciembre de 2023;32(4):157-73.
52. Cabrera Fernández M. Application of Artificial Intelligence to judicial decision-making. Eunomia Rev Cult Leg. 2024;(27):183-200.
53. Casimiro JSC, de Gouveia LG. Judicial process and reasoned decision: currently, in brazilian context, is it possible for legal reasoning artificial intelligence to apply th law just like the human judge? Rev Eletronica Direito Process. 2023;24(3):346-73.
54. Getman AP, Yaroshenko OM, Shapoval RV, Prokopiev RY, Demura MI. The impact of artificial intelligence on legal decision-making. International Comparative Jurisprudence. 29 de diciembre de 2023;9(2):155-69.
55. Lettieri N, Guarino A, Zaccagnino R, Malandrino D. Keeping judges in the loop: a human–machine collaboration strategy against the blind spots of AI in criminal justice. Soft Comput. 1 de agosto de 2023;27(16):11275-93.
56. Mahmoudi SA, Condevaux C, Zambrano G, Mussard S. Article 700 Identification in Judicial Judgments: Comparing Transformers and Machine Learning Models. Stats. diciembre de 2024;7(4):1421-36.
57. Taylor I. Justice by Algorithm: The Limits of AI in Criminal Sentencing. Criminal Justice Ethics. 2 de septiembre de 2023;42(3):193-213.
58. Zhang H, Dou Z. Case Retrieval for Legal Judgment Prediction in Legal Artificial Intelligence. En: Sun M., Qin B., Qiu X., Jiang J., Han X., editores. Proc Chin Natl Conf Comput Linguist, CCL [Internet]. Association for Computational Linguistics (ACL); 2023. p. 801-12. Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85218045025&partnerID=40&md5=7505273b16e4a1c9485ecaedd932f7e7
59. Zhang J, Moreira JI. Promoting Trustworthiness in the Application of Artificial Intelligence in the Judiciary: The Intersection of Media Communication, Court Decisions, and Public Trust. Int J Crim Justice Sci. 2023;18(2):481-96.
60. Abrar M, Salam A, Ullah F, Nadeem M, AlSalman H, Mukred M, et al. Advanced neural network-based model for predicting court decisions on child custody. PeerJ Comput Sci. 22 de octubre de 2024;10:e2293.
61. Metsker O, Trofimov E, Grechishcheva S. Natural Language Processing of Russian Court Decisions for Digital Indicators Mapping for Oversight Process Control Efficiency: Disobeying a Police Officer Case. En: Chugunov A, Trutnev D, Khodachek I, Misnikov Y, editores. Commun Comput Info Sci [Internet]. Springer; 2020. p. 295-307. Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082552817&doi=10.1007%2f978-3-030-39296-3_22&partnerID=40&md5=845812684e6d6f19bb015486052620e2
62. Balagopalan A, Madras D, Yang DH, Hadfield-Menell D, Hadfield GK, Ghassemi M. Judging facts, judging norms: Training machine learning models to judge humans requires a modified approach to labeling data. Sci Adv [Internet]. 2023;9(19). Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158839177&doi=10.1126%2fsciadv.abq0701&partnerID=40&md5=3da72138a72ea0a2c3aac5ede87d65fb
63. Meza J, Cejas MCN, Vaca-Cardenas M, Saltos MFL, Intriago JCM. Trends Of Machine Learning Techniques for Enhancing Court Decision Making. En: 2024 Tenth International Conference on eDemocracy & eGovernment (ICEDEG) [Internet]. 2024 [citado 11 mar 2025]:1-7. Disponible en: https://ieeexplore.ieee.org/document/10702057
64. Morin-Martel A. Machine learning in bail decisions and judges’ trustworthiness. AI & Soc. 1 de agosto de 2024;39(4):2033-44.
65. Pinsky E, Piranavakumar K. A Machine Learning-Based Approach to Analyze and Visualize Time-Series Sentencing Data. Engineering Proceedings. 2024;68(1):50.
66. Szoplák Z, Varga D, Horvát Š, Gurský P, Antoni L, Krídlo O, et al. Analysis of Slovak Court Decisions by Formal Concept Analysis and Machine Learning Methods. En: Ojeda-Aciego M, Sauerwald K, Jäschke R, editores. Graph-Based Representation and Reasoning. Cham: Springer Nature Switzerland; 2023. p. 201-4.
67. Umamaheswari S, Aartisha S, Kanimozhi J, Subashini R. Advancing the Practice of Law: Machine Learning Applications for Legal Decision Making. En: Int Conf Adv Electr, Electron, Commun, Comput Autom, ICAECA [Internet]. Institute of Electrical and Electronics Engineers Inc.; 2023. Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168679166&doi=10.1109%2fICAECA56562.2023.10199749&partnerID=40&md5=beb88835aacdd5dbcc608273f9ea0c0d
68. E Araújo ÉDS, Simioni RL. Legal decision and artificial intelligence: a return to legal positivism. Rev Direito [Internet]. 2020;12(2):1-20. Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202488647&doi=10.32361%2f2020120210568&partnerID=40&md5=ce181f54805ddd37120637b45538ef93
69. Ebrahimi Afrouzi A. John Robots, Thurgood Martian, and the Syntax Monster: A New Argument Against AI Judges. Can J Law Jurisprud [Internet]. 2024;37(2):369-96. Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209934248&doi=10.1017%2fcjlj.2024.17&partnerID=40&md5=1169f1122aa11726435b43fd8ee93634
70. Leheza Y, Yankovyi M, Medvedenko N, Vaida T, Koval M. Application of Artificial Intelligence in Motivating Court Decisions: Legal Basis and Foreign Experience. Al-Risalah: Forum Kajian Hukum dan Sosial Kemasyarakatan. 29 de junio de 2024;24(1):58-69.
71. Lopes G. Artificial intelligence and judicial decision-making: Evaluating the role of AI in debiasing. Z Technikfolgenabschatzung Theor Prax. 2024;33(1):28-33.
72. Ryberg J. Sentencing, Artificial Intelligence, and Condemnation: A Reply to Taylor. Criminal Justice Ethics. 3 de mayo de 2024;43(2):131-45.
73. Shidarta S, Munir A. Can Artificial Intelligence Technology Replace Judges in Deciding Legal Matters? Hamdard Islamicus: quarterly journal of the Hamdard National Foundation, Pakistan. 17 de julio de 2020;43:658-65.
74. Erdoğanyılmaz C. A New Explainable AI Approach to Legal Judgement Prediction: Detecting Model Uncertainty and Analyzing the Alignment between Judges and Models. En: Cetin A., Yildirim T., Bolat B., editores. Innov Intell Syst Appl Conf, ASYU [Internet]. Institute of Electrical and Electronics Engineers Inc.; 2024. Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213404816&doi=10.1109%2fASYU62119.2024.10757009&partnerID=40&md5=5fbec80201d0e8e3ba30f7323348dd10
75. Hsieh D, Chen L, Sun T. Legal Judgment Prediction Based on Machine Learning: Predicting the Discretionary Damages of Mental Suffering in Fatal Car Accident Cases. Applied Sciences. enero de 2021;11(21):10361.
76. Liu F. Design of Legal Judgment Prediction on Knowledge Graph and Deep Learning. En: 2024 IEEE 2nd International Conference on Image Processing and Computer Applications (ICIPCA) [Internet]. 2024 [citado 11 mar 2025]:1192-5. Disponible en: https://ieeexplore.ieee.org/document/10709293
77. Madambakam P, Rajmohan S. A Study on Legal Judgment Prediction using Deep Learning Techniques. En: 2022 IEEE Silchar Subsection Conference (SILCON) [Internet]. 2022 [citado 11 mar 2025]:1-6. Disponible en: https://ieeexplore.ieee.org/document/10028879
78. Nigam SK, Sharma A, Khanna D, Shallum N, Ghosh K, Bhattacharya A. Legal Judgment Reimagined: PredEx and the Rise of Intelligent AI Interpretation in Indian Courts. En: Ku LW, Martins A, Srikumar V, editores. Findings of the Association for Computational Linguistics: ACL 2024 [Internet]. Bangkok, Thailand: Association for Computational Linguistics; 2024 [citado 27 feb 2025]:4296-315. Disponible en: https://aclanthology.org/2024.findings-acl.255/
79. Acevedo MES. Regulation of algorithms and AI systems for judicial decision making, decision making with AI systems in the Colombian justice system. Via Inveniendi et Iudicandi. 2024;19(1):73-104.
80. Adrian A, Evert S, Heinrich P, Keuchen M. Auslegung des KI-VO-E zur Evaluation von Verfahren der Künstlichen Intelligenz am Beispiel der automatischen Anonymisierung von Gerichtsentscheidungen. Jusletter-IT. 2024;215-26.
81. Andriati SL, Rizki IK, Malian ANBM. Justice on Trial: How Artificial Intelligence is Reshaping Judicial Decision-Making. Journal of Indonesian Legal Studies. 21 de diciembre de 2024;9(2):909-42.
82. Brkan M. Opinions Artificial Intelligence and Judicial Decision-Making. European Data Protection Law Review. 2023;9(3):290-5.
83. Cárdenas ER, Molano VM. A study on the possibility of applying artificial intelligence in judicial decisions. Rev Direito GV [Internet]. 2021;17(1). Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103594328&doi=10.1590%2f2317-6172202101&partnerID=40&md5=3a996558d03b153a41a5cfa6cd28a84f
84. Xu Z. The Legitimacy of Artificial Intelligence in Judicial Decision Making: Chinese Experience. International Journal of Technoethics (IJT). 2022;13(2):1-17.
85. Zhao G, Shi HB, Wang JF. The influence of artificial intelligence technology judicial decision reasoning on contract performance in manufacturing supply chain: A simulation analysis using Evolutionary Game approach. Adv produc engineer manag. 15 de marzo de 2022;17(1):108-20.
86. Pietrangelo M, Nannipieri L. Artificial intelligence and public administrations, between definitional uncertainties, inhomogeneous uses and substitute judges. En: Falchi F. Institute of Information Science and Technologies «A. Faedo» of the National Research Council of Italy VGM 1 Pisa, Giannotti F., Scuola Normale Superiore P za dei C 7, Pisa, Monreale A, Pisa University CSD Largo Bruno Pontecorvo, 3, Pisa, et al., editores. CEUR Workshop Proc [Internet]. CEUR-WS; 2023. p. 302-11. Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173908649&partnerID=40&md5=8884ed77dad8a56f41cee60b86661b6d
87. Sanchis Crespo C. Artificial Intelligence and judicial decisions: chronicle of an announced transformation. Scire. 2023;29(2):65-84.
88. Siqueira DP, Morais FS de, Santos MF dos. Inteligência artificial e jurisdição: dever analítico de fundamentação e os limites da substituição dos humanos por algoritmos no campo da tomada de decisão judicial. Seqüência Estudos Jurídicos e Políticos. 9 de noviembre de 2022;43(91):1-34.
89. Tirso Ester Sánchez A. Artificial Intelligence in Justice.Challenges and Opportunities in Judicial Decision-making. An Catedra Franc Suarez. 2025;59:317-40.
90. Xu Z. Human Judges in the Era of Artificial Intelligence: Challenges and Opportunities. Appl Artif Intell [Internet]. 2022;36(1). Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121382057&doi=10.1080%2f08839514.2021.2013652&partnerID=40&md5=bf2d508c962f6a2a59bd2ba78777806d
91. Hoang TD, Bui CM, Bui N. Viettel-AI at SemEval-2023 Task 6: Legal Document Understanding with Longformer for Court Judgment Prediction with Explanation. En: Ojha AKr, Doğruöz AS, Da San Martino G, Tayyar Madabushi H, Kumar R, Sartori E, editores. Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023) [Internet]. Toronto, Canada: Association for Computational Linguistics; 2023 [citado 11 de marzo de 2025]. p. 862-8. Disponible en: https://aclanthology.org/2023.semeval-1.119/
92. Kazun AP. Can artificial intelligence predict judicial decisions? A systematic review of international research. Monit Obsestven Mnenia: Ekon Soc Perem. 2024;183(5):100-22.
93. Kostrzewa Ł, Nowak R. Polish Court Ruling Classification Using Deep Neural Networks. Sensors. enero de 2022;22(6):2137.
94. Bruzzone AG, Gaggero P. Will artificial intelligences will be our judges and arbiters in the future and what role it will be taken by simulators. En: Bruzzone AG, De Felice F, Massei M, Solis A, editores. Int Conf Model Appl Simul, MAS [Internet]. Dime University of Genoa; 2020. p. 166-71. Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097718966&doi=10.46354%2fi3m.2020.mas.022&partnerID=40&md5=7506d0b37041c0f3560c6d81fe2f0283
95. Fine A, Marsh S. Judicial leadership matters (yet again): the association between judge and public trust for artificial intelligence in courts. Discov Artif Intell. 28 de junio de 2024;4(1):44.
96. Kim T, Peng W. Do we want AI judges? The acceptance of AI judges’ judicial decision-making on moral foundations. AI & Soc [Internet]. 9 de noviembre de 2024 [citado 27 feb 2025]; Disponible en: https://doi.org/10.1007/s00146-024-02121-9
97. Ryberg J. Criminal Sentencing and Artificial Intelligence: What is the Input Problem? Criminal Law, Philosophy [Internet]. 17 de octubre de 2024 [citado 27 feb 2025]; Disponible en: https://doi.org/10.1007/s11572-024-09739-2
98. Socol De La Osa DU, Remolina N. Artificial intelligence at the bench: Legal and ethical challenges of informing - Or misinforming - Judicial decision-making through generative AI. Data Policy [Internet]. 2024;6. Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210937688&doi=10.1017%2fdap.2024.53&partnerID=40&md5=2320267e143dcf1b1405460fddd6228b
99. Xu Z, Zhao Y, Deng Z. The possibilities and limits of AI in Chinese judicial judgment. AI & Soc. 1 de diciembre de 2022;37(4):1601-11.
100. Decker L, Palmirani M, Sapienza S, Pistone V. Hybrid Classification of Audit Court Decisions using Online Context-Driven Neural Networks. En: CEUR Workshop Proc [Internet]. 2023. Disponible en: https://km4law.di.unito.it/wp-content/uploads/2023/07/FOIS_2023_paper_1323_Decker.pdf
101. McKay C. Predicting risk in criminal procedure: actuarial tools, algorithms, AI and judicial decision-making. Current Issues in Criminal Justice. 2 de enero de 2020;32(1):22-39.
102. Putera NSFMS, Saripan H, Bajury MSA, Yaâ€TMcob SN. Artificial Intelligence-Powered Criminal Sentencing in Malaysia: A conflict with the rule of law. Environment-Behaviour Proceedings Journal. 31 de agosto de 2022;7(SI7):441-8.
103. Ryberg J, Roberts JV. Sentencing and Artificial Intelligence: Setting the Stage. En: Sentencing and Artificial Intelligence [Internet]. Oxford University Press; 2023. p. 1-12. Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152308772&doi=10.1093%2foso%2f9780197539538.003.0001&partnerID=40&md5=e8bf82834dd6628d5ec484609a886cbc
104. Ryberg J. Criminal Justice and Artificial Intelligence: How Should we Assess the Performance of Sentencing Algorithms? Philos Technol. 12 de enero de 2024;37(1):9.
105. Güttler V, Solarczyk Krausová A. Několik poznámek k problematice umělé inteligence v normotvorbě a rozhodování soudů. Právník Teoretický časopis pro otázky státu a práva (The Lawyer - Scientific Review for Problems of State and Law). 2023;162(6):496-507.
106. Roque AV, Dos Santos lbr. Artificial intelligence in making judicial decisions: three basic premises. Rev Eletronica Direito Process. 2021;22(1):58-78.
107. Ümit Atılgan E. Will artificial intelligence sit on the judge’s bench? En: Al-Turjman F, editor. Computational Intelligence and Blockchain in Complex Systems [Internet]. Morgan Kaufmann; 2024 [citado 11 mar 2025]:127-32. (Advanced Studies in Complex Systems). Disponible en: https://www.sciencedirect.com/science/article/pii/B9780443132681000273
108. Wang N. Black Box Justice: Robot Judges and AI-based Judgment Processes in China’s Court System. En: 2020 IEEE International Symposium on Technology and Society (ISTAS) [Internet]. 2020 [citado 11 de marzo de 2025]:58-65. Disponible en: https://ieeexplore.ieee.org/document/9462216
109. Iniyan S, Raghuvanshi N, Maurya P. Court Judgment Prediction for Article6 Using Machine Learning. En: Proc Int Conf Sci, Technol, Eng Math: Role Emerg Technol Digit Transform, ICONSTEM [Internet]. Institute of Electrical and Electronics Engineers Inc.; 2024. Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198847849&doi=10.1109%2fICONSTEM60960.2024.10568611&partnerID=40&md5=89f39c76ee790582f2624579735e9ee9
110. Ulenaers J. The Impact of Artificial Intelligence on the Right to a Fair Trial: Towards a Robot Judge? Asian Journal of Law and Economics [Internet]. 1 de agosto de 2020 [citado 11 mar 2025];11(2). Disponible en: https://www.degruyter.com/document/doi/10.1515/ajle-2020-0008/html
111. Morić Z, Dakić V, Urošev S. An AI-Based Decision Support System Utilizing Bayesian Networks for Judicial Decision-Making. Systems. febrero de 2025;13(2):131.
112. Kahr PK, Rooks G, Willemsen MC, Snijders CCP. It Seems Smart, but It Acts Stupid: Development of Trust in AI Advice in a Repeated Legal Decision-Making Task. En: Proceedings of the 28th International Conference on Intelligent User Interfaces [Internet]. New York, NY, USA: Association for Computing Machinery; 2023 [citado 11 mar 2025]:528-39. (IUI ’23). Disponible en: https://dl.acm.org/doi/10.1145/3581641.3584058
113. de Morais JLB, Mafra LK. Artificial intelligence in judicial decisions: opacity versus procedural guarantees. Novos Estudos Jurid. 2023;28(3):516-35.
114. Garofalakis J, Plessas K, Plessas A, Spiliopoulou P. Application of an Ecosystem Methodology Based on Legal Language Processing for the Transformation of Court Decisions and Legal Opinions into Open Data. Information. enero de 2020;11(1):10.
115. Demidchenko YV, Kobleva MM, Tsoi BA, Poltavtseva LI, Poltavtseva AV. The Use of Artificial Intelligence in Considering a Criminal Case on Its Merits as One of the Safeguards of Legal and Reasonable Sentencing by a Judge. En: Makarenko EN, Vovchenko NG, Tishchenko EN, editores. Technological Trends in the AI Economy: International Review and Ways of Adaptation [Internet]. Singapore: Springer Nature; 2023 [citado 10 de marzo de 2025]. p. 219-28. Disponible en: https://doi.org/10.1007/978-981-19-7411-3_23
116. Ceresa Gastaldo F. The automaton-judge:Some reflections on the future of AI in judicial systems. Sortuz: Oñati Journal of Emergent Socio-legal Studies. 2024;14(2):399-412.
117. Kolkman D, Bex F, Narayan N, van der Put M. Justitia ex machina: The impact of an AI system on legal decision-making and discretionary authority. Big Data & Society. 1 de junio de 2024;11(2):20539517241255101.
118. Thomaidou MA, Berryessa CM. Mental Illness as a Sentencing Determinant: A Comparative Case Law Analysis Based on a Machine Learning Approach. Criminal Justice and Behavior. 1 de julio de 2023;50(7):976-95.
119. Grolleau G, Mungan MC, Mzoughi N. Perceptions of Justice: Assessing the Perceived Effectiveness of Punishments by Artificial Intelligence versus Human Judges. Rev Law Econ [Internet]. 2025; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85218142455&doi=10.1515%2frle-2024-0049&partnerID=40&md5=406ec3a464aadbca034470d8c6aa2e8b
120. Giabardo CV. ON “The judge and the algorithm”, again. Critical reflections on artificial intelligence and predictive justice (starting from a contribution by michele Taruffo). Rev Italo Espanola Derecho Procesal. 2023;2023(1):53-71.
121. Wu TH, Kao B, Cheung ASY, Cheung MMK, Wang C, Chen Y, et al. Integrating Domain Knowledge in AI-Assisted Criminal Sentencing of Drug Trafficking Cases. En: Legal Knowledge and Information Systems [Internet]. IOS Press; 2020 [citado 11 mar 2025]:174-83. Disponible en: https://ebooks.iospress.nl/doi/10.3233/FAIA200861
122. Hoang TD, Bui CM, Bui KHN. Viettel-AI at SemEval-2023 Task 6: Legal Document Understanding with Longformer for Court Judgment Prediction with Explanation. En: Ojha AK, Dogruoz AS, Da San Martino G, Madabushi HT, Kumar R, Sartori E, editores. Int Workshop Semantic Eval, SemEval-Proc Workshop [Internet]. Association for Computational Linguistics; 2023. p. 862-8. Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175399715&doi=10.18653%2fv1%2f2023.semeval-1.119&partnerID=40&md5=42a0f6cac670b623f6826f6b6d93e6c6
123. Watamura E, Liu Y, Ioku T. Judges versus artificial intelligence in juror decision-making in criminal trials: Evidence from two pre-registered experiments. PLOS ONE. 30 de enero de 2025;20(1):e0318486.
124. Pietrangelo M, Nannipieri L. Artificial intelligence and public administrations, between definitional uncertainties, inhomogeneous uses and substitute judges. En: Falchi F., Institute of Information Science and Technologies «A. Faedo» of the National Research Council of Italy VGM 1 Pisa, Giannotti F., Scuola Normale Superiore P za dei C 7, Pisa, Monreale A., Pisa University CSD Largo Bruno Pontecorvo, 3, Pisa, et al., editores. CEUR Workshop Proc [Internet]. CEUR-WS; 2023. p. 302-11. Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173908649&partnerID=40&md5=8884ed77dad8a56f41cee60b86661b6d
125. Zhao G, Shi H, Wang J. A Grey BP Neural Network-Based Model for Prediction of Court Decision Service Rate. Computational Intelligence and Neuroscience. 2022;2022(1):7364375.
126. Wen Y, Ti P. A Study of Legal Judgment Prediction Based on Deep Learning Multi-Fusion Models Data from China. SAGE Open. 1 de julio de 2024;14(3):21582440241257682.
127. Fouquet DB. On artificial intelligence, judicial decisions and argumentation voids. Teoria Derech. 2021;(29):248-77.
128. Parlangeli O, Currò F, Palmitesta P, Guidi S. Asymmetries in the Moral Judgements for Human Decision-Makers and Artificial Intelligence Systems (AI) Delegated to Make Legal Decisions. En: ACM Int Conf Proc Ser [Internet]. Association for Computing Machinery; 2023. Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173805178&doi=10.1145%2f3605655.3605676&partnerID=40&md5=15bee2789428e0cbf6167ef017dcb1c0
129. Sanchis Crespo C. Artificial Intelligence and judicial decisions: chronicle of an announced transformation. Scire [Internet]. 2023;29(2):65-84. Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179043110&doi=10.54886%2fscire.v29i2.4937&partnerID=40&md5=2bf7f1f2ac4030ad4a30b609f7d0aabe
130. Coppola F. Commisurazione della pena e intelligenza artificiale: una ipotesi di lavoro con l’algoritmo Ex-Aequo. Archivio Penale [Internet]. 10 de julio de 2023 [citado 10 mar 2025];(2). Disponible en: https://archiviopenale.it/commisurazione-della-pena-e-intelligenza-artificiale-una-ipotesi-di-lavoro-con-lalgoritmo-ex-aequo/articoli/41566
131. Shi J. Artificial Intelligence, Algorithms and Sentencing in Chinese Criminal Justice: Problems and Solutions. Crim Law Forum. 1 de junio de 2022;33(2):121-48.
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