AI in Legal Analysis: the ALTAML Project
27 February 2025, Košice, Bratislava
Universities Join Forces with the Commercial Sector: Machine Learning to Streamline Legal Text Analysis
Pavol Jozef Šafárik University in Košice (UPJŠ), Comenius University in Bratislava, Faculty of Law (PraF UK), and Wolters Kluwer SR s.r.o. (WK) are jointly implementing a project titled "Automation of Legal Text Analysis Based on Machine Learning" (ALTAML). The project is supported by the Slovakia National Recovery and Resilience Plan.
The aim of the project is to utilize machine learning methods for more efficient processing and analysis of legal texts. This technology has the potential to better identify relationships between legal texts, detect deviations from established practices, and streamline access to legal information.
The main benefits of the project include the automation of the legal text processing, which will speed up and streamline the work with legal documents. The application of machine learning and data analysis methods will enable a deeper understanding and more efficient use of legal information. These methods will facilitate navigation through complex legal texts as well as allow the identification of relationships between them, which is crucial for understanding broader contexts within the legal system. Detection of deviations from established decision-making practices is another essential benefit, which will contribute to increased transparency and predictability of decision-making processes. Last but not least, the comparison of groups of legal texts (clustering) will facilitate the navigation of extensive legal information, which is priceless for both professionals and ordinary users seeking relevant legal information.
The project results will be published in renowned scientific journals, as well as at conferences and workshops organized by the project team.
" Our university covers the issue of machine learning methods and their use in the analysis of legal texts with great scientific expertise, which is proven by several projects we have implemented. The project provides us with another opportunity to use the latest machine learning methods on legal texts, which will significantly increase the efficiency and accuracy of their analysis," said Assoc. Prof. Pavol Sokol, PhD. et PhD., the project’s expert guarantor and associate professor at the Institute of Informatics, Faculty of Science, UPJŠ.
"The project provides an opportunity for legal researchers to engage in excellent research and gain valuable experience in the field of legal text analysis using machine learning methods. Participation in the research team, that is composed of computer scientists and representatives of the commercial sector, will contribute to the development of professional skills of our researchers and interdisciplinary understanding of the issues" said Assoc. Prof. Jozef Andraško, PhD., Vice-Dean of PraF UK.
"Our company has extensive experience in developing and deploying artificial intelligence tools, as evidenced by the first tool in the ASPI AI system – Samospráva (Self-government), which simplifies working with legislation using the potential of artificial intelligence, and we are intensively working on new tools. We have also integrated four other artificial intelligence tools into our Praetor software, designed for the management of law firms, tax offices, and legal departments. Our practical experience in the deployment of artificial intelligence in legal information systems will connect the latest scientific knowledge with the actual needs of practice," said Ing. Klára Rábel Glosíková, Director of WK.