{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T12:10:23Z","timestamp":1764850223131,"version":"3.46.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686387","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T00:00:00Z","timestamp":1764633600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,2]]},"abstract":"<jats:p>The increasing availability of legal documentation provides opportunities for applying empirical research methods that enable a comprehensive analysis of complex legal data. Systematic Content Analysis offers a structured approach for examining legal texts. This paper examines the possibility of anomaly detection in legal text through the employment of machine learning methods. The conclusions presented are formulated on a basis of a case study focusing on contractual agreements concluded between public authorities and private service providers in the field of cybersecurity. In this regard, we propose an approach to the detection of anomalous legal text, providing a categorization of attributes that impact the determination of anomalies and describing their significance in the selected domain.<\/jats:p>","DOI":"10.3233\/faia251609","type":"book-chapter","created":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T12:05:29Z","timestamp":1764849929000},"source":"Crossref","is-referenced-by-count":0,"title":["Anomaly Detection in Legal Text \u2013 A Case Study on Cybersecurity Contracts"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1967-8802","authenticated-orcid":false,"given":"Pavol","family":"Sokol","sequence":"first","affiliation":[{"name":"Faculty of Science, Pavol Jozef \u0160af\u00e1rik University in Ko\u0161ice"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7111-9565","authenticated-orcid":false,"given":"Laura","family":"Bach\u0148\u00e1kov\u00e1 R\u00f3zenfeldov\u00e1","sequence":"additional","affiliation":[{"name":"Faculty of Law, Pavol Jozef \u0160af\u00e1rik University in Ko\u0161ice"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3176-8106","authenticated-orcid":false,"given":"D\u00e1vid","family":"Varga","sequence":"additional","affiliation":[{"name":"Faculty of Science, Pavol Jozef \u0160af\u00e1rik University in Ko\u0161ice"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6711-2141","authenticated-orcid":false,"given":"Simona","family":"Rudohradsk\u00e1","sequence":"additional","affiliation":[{"name":"Faculty of Law, Pavol Jozef \u0160af\u00e1rik University in Ko\u0161ice"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4731-0770","authenticated-orcid":false,"given":"Regina","family":"Hu\u010dkov\u00e1","sequence":"additional","affiliation":[{"name":"Faculty of Law, Pavol Jozef \u0160af\u00e1rik University in Ko\u0161ice"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Legal Knowledge and Information Systems"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA251609","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T12:05:30Z","timestamp":1764849930000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA251609"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,2]]},"ISBN":["9781643686387"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia251609","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,2]]}}}