Semi-automatic knowledge population in a legal document management system

Abstract

Every organization has to deal with operational risks, arising from the execution of a company's primary business functions. In this paper, we describe a legal knowledge management system which helps users understand the meaning of legislative text and the relationship between norms. While much of the knowledge requires the input of legal experts, we focus in this article on NLP applications that semi-automate essential time-consuming and lower-skill tasks-classifying legal documents, identifying cross-references and legislative amendments, linking legal terms to the most relevant definitions, and extracting key elements of legal provisions to facilitate clarity and advanced search options. The use of Natural Language Processing tools to semi-automate such tasks makes the proposal a realistic commercial prospect as it helps keep costs down while allowing greater coverage.

The linked legal data landscape: linking legal data across different countries

“…Ajani et al (2016) proposed the European Legal Taxonomy Syllabus (ELTS) as a lightweight ontology that should help to relate national and European legal terminology to represent the differences in the national legal systems of the EU member states. A legal knowledge management system based on ELTS to semi-automatically classify and interlink documents has been proposed by Boella et al (2019). Besides the generic legal ontologies used in this paper, many domain-specifc legal ontologies have been proposed tailored for the usage in a narrow legal domain.…”

Legal Knowledge Extraction for Knowledge Graph Based Question-Answering

“…In the legal domain, different researches [10,1] identified some basic ontology design patterns regularly used for modelling norms. i) Agent-role-time 3 ; ii) Event-time-placejurisdiction 4 ; iii) Agent-action-time [7]; iv) Object-document [12]; v) Legal deontic ontology [5] [10].…”

“…This light ontology will be structured in a way that would be possible for the legal end-users (e.g., lawyer, judge, scholar, students) to easily query and explore the extracted information through a QA algorithm. In the future we intend to integrate our approach in existing tools 1 for legal document analysis, thus allowing to the legal experts to formulate relevant queries in order to orient the KG during the modelling phase and to correct/disambiguate some edges/nodes of the extracted KG.…”

Application of Computer Techniques and Systems in the Study of Law, Intellectual Analysis and Modeling of Legal Activity: A Systematic Review

“…В 2016 г. была создана и в дальнейшем совершенствовалась система управления правовыми документами и знаниями EUNOMOS. На основе инструментов обработки естественного языка эта система в полуавтоматическом режиме обеспечивала классификацию юридических документов, выявляя перекрестные ссылки и законодательные изменения, связывая юридические термины и извлекая ключевые элементы правовых норм для обеспечения ясности и расширенного поиска [13]. К 2017 г. в Великобритании была разработана система CLIEL, которая обеспечивает аннотирование юридических документов с использованием тегов XML для упрощения извлечения данных для разных типов точек данных.…”