Title: Practicing AI in the Legal Space: Lessons Learned & Challenges Ahead
Thomson Reuters’ R&D group began working on text analytics and machine learning in the Legal domain in the early 1990s. Since I joined the group in 2004, I’ve had the opportunity to work on many interesting AI products and capabilities for TR’s Legal business: WestSearch, Concept Search, recommender systems, question answering, query autocomplete, and stemming & decompounding for non-English search, just to name a few. This talk will discuss the evolution of AI capabilities in TR’s Legal products, and some of the practical challenges of implementing AI products commercially and at scale for the Legal market, as well as discussing TR’s positioning in this particular space. To conclude, I’ll also talk about where we are headed and some of the challenges that lie ahead for AI practitioners in Legal.
Tonya Custis is a Research Director at Thomson Reuters where she leads a team of Research Scientists performing applied research in Artificial Intelligence technologies. Tonya’s diverse academic background—a Ph.D. & M.A. in Linguistics, an M.S. in Computer Science, and a B.A. in Music—has shaped her research interests, which primarily include information retrieval, natural language processing, and machine learning.
She is currently leading projects that explore Question Answering and Natural Language Understanding in the Legal domain. Previously, as a Senior Principal Data Scientist for Honeywell, Tonya developed machine-learned predictive models to improve voice-controlled and other IoT and aerospace products. Her work as a Senior Machine Learning Scientist for eBay focused on search results ranking, query parsing, inventory prediction, and product classification. As a Senior Research Scientist at Thomson Reuters from 2004-2011, Tonya worked on many NLP and machine learning projects, including Concept Search, non-English stemming and decompounding, document recommendation systems, and named entity tagging and resolution. From 2007-2016, while not working, she played competitive roller derby.
Title: Semantic web ecosystem for modelling Legal Knowledge
In the last fifteen years, Semantic Web technologies have been successfully applied to the legal domain by defining unique identifier naming conventions for legal resources [e.g., ELI, ECLI, URN:LEX], legal document vocabularies for the representation of sources [e.g., Metalex/CEN, Akoma Ntoso], legal ontologies for the modelling of legal concepts [e.g., LKIF ontology] and legal rules-based languages for the modelling of norms [e.g., LegalRuleML]. However, such components, and the related research communities, are not integrated enough to produce a robust and scientific framework that can be usable in real applications and that takes into account the needs of the end-users (user experience). By composing all those techniques and theoretical methods, we propose a unique ecosystem for the modelling of legal documents and legal knowledge. This framework, that uses XML standards, is suitable for different scenarios: to publish legal documents in the open data space, to track the evolution of legal document collections over time, to detect new legal concepts and rules emerging from new legislation, and to check legal compliance of BPMN related to online services.
Monica Palmirani is a professor in Computer Science and Law and Legal Informatics at University of Bologna, School of Law. She graduated in Mathematics, and had her Ph.D. in Legal Informatics and IT Law. Since 2001 she has been teaching courses to undergraduates, PhD students and professionals on Legal Informatics, eGovernment, Legal drafting techniques, and Legal XML. Her department, CIRSFID, is one of the leading centers of excellence in Italy and one of the leading centers at the international level in the area of computer science and law. In December 2013 she passed the national evaluation for becoming full professor.
In OASIS she co-chairs the LegalDocML and the LegalRuleML Technical Committees and since 2013 she serves on the OASIS LegalXML Steering Committee. She is also an active member of the LegalCiteM Technical Committee in order to model universal citation standard for legal resources. In 2015, she was recognized as an OASIS Distinguished Contributor. She is elected in 2016 member of Board of Directors of OASIS. Visiting professor in NICTA (2009) and in Stanford University (2010, 2017).
Her research fields include XML techniques for modelling legal documents in structure as well as in aspects connected to legal knowledge, including normative rules and legal ontologies, and ICT-enhanced legal drafting techniques. She is managing several research projects (e.g., High Court of Cassation of Italy, Senate of Italy, Uruguayan Parliament, Chamber of Deputies of Cile, European Parliament, Inter-America Bank for Development, United Nations Department of Economic and Social Affairs, Federal Chancellery of Switzerland, UN Food and Agriculture Organization) to improve access and quality of legal documentation, as well as open government data models for democracy, and transparency. She has published more than 70 papers and she has been chair of several international conferences, editor of book series and member of the scientific committee of “AI and Law” Journal.