Personāls

Pasniedzēji

Rūta Liepiņa PhD

Asociētā profesore
Intelektuālā īpašuma tiesības un tehnoloģijas. Eiropas Savienības institūciju tiesības un lēmumu pieņemšana
E-pasts
Birojs
Valenberga ēka, 5.stāvs

PhD in Law (European University Institute, 2020)

LLM in Comparative, European and International Laws (European University Institute, 2016)

Master of Arts, Legal Studies and Philosophy (University of Aberdeen, 2015) 

Nozīmīgākā profesionālā pieredze

  • Research Fellow, ALMA-AI Institute, University of Bologna (2022-2025) 
  • Assistant Professor, Law Faculty, Maastricht University (2019-2022)
  • Independent legal technology consultant (2022-Present)

Aktuālais pētniecības darbs

  • Regulation of artificial intelligence and emerging technologies; EU digital regulation and platform governance; EU fundamental rights in the digital environment; consumer protection in technology-driven markets; and computational approaches to analysing law and regulation.

Publikācijas

  • P. Pałka, F. Lagioia, R. Liepina, M. Lippi, G. Sartor, Make privacy policies longer and appoint LLM readers (2025) Artificial Intelligence and Law, pp.1-33. https://link.springer.com/article/10.1007/s10506-025-09442-0 
  • M. Reuter, T. Lingenberg, R. Liepina, F. Lagioia, M. Lippi, G. Sartor, A.Passerini, B. Sayin, Towards reliable retrieval in RAG systems for large legal datasets (2025) In Proceedings of the Natural Legal Language Processing Workshop 2025 (pp. 17-30). https://aclanthology.org/2025.nllp-1.3.pdf 
  • A. Jabłonowska, F. Lagioia, R. Liepiņa, H.W. Micklitz, G. Sartor, Automating compliance assessment of insurance contracts using AI: promises and challenges (2025) In European Insurance Law within the Digital Age (pp. 137-165). Cham: Springer Nature Switzerland.
  • R. Liepiņa, T. de Lima, E. Lorini, G. Pisano, G. Sartor, A Causal Model Checker for Legal Cases (2025) In Proceedings of the Twentieth International Conference on Artificial Intelligence and Law (pp. 248-257). https://dl.acm.org/doi/full/10.1145/3769126.3769207 
  • M. Panarelli, A. Galassi, F. Lagioia, R. Liepiņa, M. Lippi, P. Pałka, G. Sartor, Is it worth using LLMs for unfair clause detection in terms of service? (2025)  In Proceedings of the Twentieth International Conference on Artificial Intelligence and Law (pp. 139-149).https://dl.acm.org/doi/pdf/10.1145/3769126.3769218 
  • G. Pisano, H. Prakken, G. Sartor, R. Liepina, Modelling cause-in-fact in legal cases through defeasible argumentation (2025) In Proceedings of the Twentieth International Conference on Artificial Intelligence and Law (pp. 278-287). https://dl.acm.org/doi/full/10.1145/3769126.3769228 
  • R. Liepiņa, F. Galloni, F. Lagioia, M. Lippi, M. Musicco, B. Sayin, A. Passerini, G. Sartor, Legal Argument Mining: Recent Trends and Open Challenges (2025) In Proceedings of the First Argument Mining and Empirical Legal Research Workshop (AMELR 2025), CEUR WORKSHOP PROCEEDINGS, AMELR Workshop (Vol. 4089, pp). CEUR-WS. https://ceur-ws.org/Vol-4089/paper1.pdf 
  • F. Alfieri, G. Grundler, F. Galloni, R. Liepina, F. Lagioia, A. Galassi, P. Torroni, Dynamic Demonstrations Selection for Few-Shot Legal Argument Mining (2025) In Proceedings of the First Argument Mining and Empirical Legal Research Workshop (AMELR 2025), CEUR WORKSHOP PROCEEDINGS, AMELR Workshop (Vol. 4089, pp. 15-29). CEUR-WS. https://ceur-ws.org/Vol-4089/paper2.pdf 
  • A. Aliu, R. Liepiņa, S. Klymchuk, I. Abdirahman, B. Panattoni, J.L.K. Thong, H. van der Kroef,  Conclusion: Future of AI and the Rule of Law—Ethics and Regulatory Framework in Legal Tech and Digital Governance (2025) In Artificial Intelligence and the Rule of Law: The Age of Legal Tech and Digital Governance in a Fractured Digital World (pp. 269-322). Cham: Springer Nature Switzerland.
  • G. Grundler, M. Musicco, A. Galassi, F. Lagioia, R. Liepina, G. Resta, S. Roccu, G. Sartor, P. Torroni, Detecting Vague Clauses in Italian Privacy Policies Using Transformers, LLMs, and Cross-Lingual Techniques (2025) In Frontiers in Artificial Intelligence and Applications: ECAI 2025 (Vol. 413, pp. 4594-4602). https://ebooks.iospress.nl/doi/10.3233/FAIA251362 
  • R. Liepiņa, F. Lagioia, M. Lippi, P. Pałka, H.W. Micklitz, G. Sartor, Automating legal tasks: LLMs, legal documents, and the AI Act (2025) The Cambridge Handbook of Generative AI and the Law, Cambridge University Press, pp. 407 - 424.
  • R. Liepiņa, M. Meyer-Erdmann, P.H. Serrano, W. Simoncini, Computational annotation and database developments for European works Councils and law (2024) In Field Guide to Researching Employment and Industrial Relations (pp. 141-160). Edward Elgar Publishing.
  • G. Grundler, R. Liepina, M. Musicco, F. Lagioia, A. Galassi, G. Sartor, P. Torroni, Detecting vague clauses in privacy policies: The analysis of data categories using BERT models and LLMs (2024) FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS, 395, pp.72-83. https://ebooks.iospress.nl/volumearticle/71000 
  • R. Liepiņa, A. Wyner, G. Sartor, F. Lagioia, Argumentation schemes for legal presumption of causality (2023) In Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law (pp. 157-166). https://dl.acm.org/doi/pdf/10.1145/3594536.3595130 
  • F. Lagioia, A. Jabłonowska, R. Liepina, K. Drazewski, AI in search of unfairness in consumer contracts: the terms of service landscape (2022) Journal of Consumer Policy, 45(3), pp.481-536. https://link.springer.com/article/10.1007/s10603-022-09520-9 
  • R. Liepina, F. Ruggeri, F., Lagioia, M. Lippi, K. Drazewski, P. Torroni, Explaining potentially unfair clauses to the consumer with the CLAUDETTE tool (2020) In CEUR WORKSHOP PROCEEDINGS, Natural Legal Language Processing Workshop, (Vol. 2645, pp. 61-64). CEUR-WS. https://ceur-ws.org/Vol-2645/short4.pdf 
  • R. Liepiņa, G. Sartor, A. Wyner, Evaluation of causal arguments in law: the case of overdetermination (2019) In Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law (pp. 214-218). https://dl.acm.org/doi/pdf/10.1145/3322640.3326698 
  • R. Liepiņa, G. Sartor, A. Wyner, Arguing about causes in law: a semi-formal framework for causal arguments (2020) Artificial intelligence and law, 28(1), pp.69-89. (Accessible via HeinOnline)
  • R. Liepina, G. Contissa, K. Drazewski, F. Lagioia, M. Lippi, H.W.  Micklitz, P. Pałka, G. Sartor, P. Torroni, (2019) GDPR privacy policies in CLAUDETTE: Challenges of omission, context and multilingualism. In CEUR Workshop Proceedings, Natural Legal Language Processing Workshop (Vol. 2385, pp. 1-7). https://ceur-ws.org/Vol-2385/paper9.pdf 
  • M. Dymitruk, R. Markovich, R. Liepiņa, M. El Ghosh, R. van Doesburg, G. Governatori, B. Verheij (2018) Research in progress: report on the ICAIL 2017 doctoral consortium. Artificial intelligence and law Journal, 26(1), pp.49-97. https://link.springer.com/content/pdf/10.1007/s10506-018-9220-6.pdf 
  • R. Liepina, G. Sartor, A. Wyner, Causal models of legal cases (2015) In International Workshop on AI Approaches to the Complexity of Legal Systems, Springer International Publishing, (pp. 172-186) https://link.springer.com/chapter/10.1007/978-3-030-00178-0_11 

Apbalvojumi:

  • Peter Jackson Paper Award for the Best Innovative Application Paper 2025, ICAIL 2025 Conference, Chicago, USA
  • The Honorable Mention in the Best Paper Award Category 2024, JURIX 2024 Conference, Brno, Czechia