Towards sustainable justice: looking for AI-driven solutions for legal practice and court monitoring
DOI:
https://doi.org/10.17721/1812-5409.2024/2.8Keywords:
artificial intelligence, legal practice, judicial efficiency, case law monitoring, out-of-court resolution, legal reform, sustainable justice, UkraineAbstract
This research explores the application of artificial intelligence (AI) in legal practice, focusing on AI-driven solutions for managing large datasets of court decisions and improving judicial efficiency in Ukraine. The study demonstrates the importance of AI in addressing challenges related to the overwhelming influx of unstructured legal data, which human resources alone cannot manage effectively. The project titled “Innovative Technologies for Processing Court Decisions Using Machine Learning Algorithms” applied AI methodologies to collect, label, and analyze over 300,000 court cases. Through the analysis, the research identified ways of defining patterns of inconsistency, judicial errors, and procedural anomalies, providing a foundation for further legal reforms in Ukraine. The project also highlights the potential of AI to advocate for out-of-court resolution mechanisms to ease the burden on courts. While the pilot phase was limited in scope, it demonstrated the viability of AI-assisted legal processes, setting the stage for future research. A comprehensive review of existing literature on AI applications in legal settings was conducted, revealing significant advancements but also gaps in AI’s role in case law monitoring and judicial decision-making. Additionally, the research identifies AI's capacity to automate repetitive legal tasks, reduce inefficiencies, and improve access to justice in post-conflict environments like Ukraine. Continued efforts will focus on refining AI algorithms and scaling up the labeling process to improve the accuracy of legal predictions and enhance transparency, fairness, and efficiency in Ukraine’s legal system, particularly in the post-war context.
Pages of the article in the issue: 49 - 53
Language of the article: English
This article was prepared as part of the scientific project ‘Justice in the context of sustainable development’ Project No. 22BF042-01 (2022-2024).
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