Workshop Overview

× KEYNOTE SLIDES PUBLISHED! You will find the shared slides/videos in the programme

About the workshop

The legal domain applies to every aspect of people’s living and evolves continuously, building a huge network of interlinked legal documents. Therefore, it is important for a government to offer services that make legal information easily accessible to the citizens, enabling them to defend their rights, auditing public procurement, or to use legislation as part of their job. It is equally important to have professionals (lawyers, judges, administrations, etc.) access legislation in ways that allow them to do their job easily (e.g., they might need to be able to see the evolution of a law over time). Despite recent efforts to make all this accessible and transparent to both citizens and the companies involved, the level of implementation in different countries and layers of public administration still makes access difficult. For this reason, in the age of the Web it is important to develop applications for citizens and professionals easily, by connecting the available legal information with other kinds of government or private sector information.

The vision of the AI4LEGAL workshop is to bring together Artificial Intelligence and practitioners to discuss the digitization of legal documents, such as legislation and public procurement data, in today’s interconnected world.


The semantic web is gradually gaining ground in the legal domain, which was previously reluctant to incorporate technology in its procedures. Additionally, novel topics are becoming more and more of interest in last years; new legislation concerning COVID19 pandemics, as well as concern regarding public procurement. Although the legal domain has always tried to stay out of the digitization that has already reached other domains, the recent pandemic and the implementation of teleworking have forced the creation of new procedures and the forced digitization of several previously existing procedures. It is time to boost the semantic web in this domain.

Audience and community

The expected audience will be researchers and practitioners from the Semantic Web area working or interested on the legal domain or in public procurement.

There is already a strong community of people interested in the topics of the workshop, that usually attend either semantic web conferences or legal domain-related conferences, such as the International Conference on Artificial Intelligence and Law (ICLAI), or the International Conference on Legal Knowledge and Information Systems (JURIX). The objective is to attract both the intersection of ISWC and these workshop, as well as people working on relevant topics (public sector employees, the legal profession and companies producing relevant software). Recent papers both in public procurement and the legal domain demonstrate the growing interest in the application of the semantic web to these domains.


The topics of interest to be covered by the workshop are the following:
  • Natural language processing techniques for legal documents
  • Legal knowledge graphs
  • Knowledge representation and reasoning techniques for legal documents
  • Explainable AI for legal documents
  • Linked data for legal documents
  • Machine learning techniques for legal documents
  • Scalable deep learning techniques for legal text analytics
  • Machine translation for legal documents
  • Question answering for legal documents
  • Chatbots for legal documents
  • Language resources for digital legal document research and development
  • National or international initiatives and digital platforms for legislation
  • National or international initiatives and digital platformas for public procurement
  • Legal Multilingualism
  • Specific application areas (legislation, judicial decisions, case law, compliance, contracts, public procurement)


Important Dates

  • Submission due: 10th August, 2022 22nd August, 2022!
  • Notification of acceptance: 10th September, 2022
  • Camera-ready papers due: 25th September, 2022
  • Workshop: 23rd October, 2022

All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”).

Submission information

Contributions to the workshop can include research papers, industry papers and posters/statements of interest, as well as advancements in projects related to the topic of the workshop. The maximum length of the papers must be 10 pages. The workshop is running an open review process, and selected papers will be published in CEUR. The papers must follow the LNCS style (please see Springer’s Author Instructions) and be submitted in PDF format through the workshop submission site:


The programme can be found below.

Time (GMT) Time (CEST) Title of the Talk Authors
8:00-8:05 10:00-10:05 Opening Workshop Chair
8:05-9:00 10:05-11:00 Keynote: Open Semantic Models for Stakeholder Engagement with AI Regulation [Slides] Dr. David Lewis (Trinity College Dublin)
9:00-9:30 11:00-11:30 A Use Case on GDPR of Modular-PROLEG for Private International Law Takahiro Sawasaki, Ken Satoh and Aurore Clément Troussel
9:30-10:00 11:30-12:00 An Indian Court Decision Annotated Corpus and Knowledge Graph Pariskhit Kamat, Shubham Kalson, Suraj S, Pooja Harde, Nandana Mihindukulasooriya and Sarika Jain
10:00-10:15 12:00-12:15 Break
10:15-10:45 12:15-12:45 LawSampo Portal and Data Service for Publishing and Using Legislation and Case Law as Linked Open Data on the Semantic Web Eero Hyvönen, Minna Tamper, Esko Ikkala, Mikko Koho, Rafael Leal, Joonas Kesäniemi, Arttu Oksanen, Jouni Tuominen and Aki Hietanen
10:45-11:15 12:45-13:15 Evaluation of Data Augmentation for Named Entity Recognition in the German Legal Domain [Video] Robin Erd, Leila Feddoul, Clara Lachenmaier and Marianne Jana Mauch
11:15-13:30 13:15-15:30 Lunch Break
13:30-14:00 15:30-16:00 Building and Analyzing the Brazilian Legal Knowledge Graph Rilder S. Pires, Henrique Santos, Ricardo Guedes, João A. Monteiro Neto, Carlos Caminha and Vasco Furtado
14:00-14:20 16:00-16:20 Towards Building a Legal Virtual Assistant Based on Knowledge Graphs Douglas Raevan Faisal, Fariz Darari, Berty Chrismartin Lumban Tobing and On Lee
14:20-14:40 16:20-16:40 Finding Case Law: Leveraging Machine Learning Research to Enhance Public Access to UK Judgments Amy Conroy, Editha Nemsic, Daniel Hoadley and Imane Hafnaoui
14:40-15:00 16:40-17:00 Break
15:00-15:20 17:00-17:20 Introduction of Artificial Intelligence in Belgian Court: Failures, Challenges and Opportunities Henri Arno and Wim De Mulder
15:20-15:40 17:20-17:40 An Anonymization Tool for Open Data Publication of Legal Documents Arttu Oksanen, Eero Hyvönen, Minna Tamper, Jouni Tuominen, Henna Ylimaa, Katja Löytynoja, Matti Kokkonen and Aki Hietanen
15:40-15:55 17:40-17:55 NextProcurement: Challenges in Public Procurement in Spain [Slides] María Navas-Loro
15:55-16:00 17:55-18:00 Closing Workshop Chair


Workshop Chairs

María Navas-Loro, PhD (Ontology Engineering Group, Universidad Politécnica de Madrid, Spain)

Prof. Manolis Koubarakis (National and Kapodistrian University of Athens, Greece)

Prof. Ken Satoh (Principles of Informatics Research Division, National Institute of Informatics, Japan)

Asst. Prof. Sabrina Kirrane (Vienna University of Economics and Business, Austria

Program Commitee

Elena Montiel-Ponsoda, Ontology Engineering Group, Universidad Politécnica de Madrid, Spain

Harshvardhan J. Pandit, Trinity College Dublin, Ireland

John Dann, Ministère d'Etat - Service central de législation, Luxembourg

Grigoris Antoniou, University of Huddersfield, United Kingdom

Ion Androutsopoulos, Athens University of Economics and Business, Greece

Ilias Chalkidis, AI Centre of Excellence in Document Intelligence (DICE) - IIT NSCR ‘Demokritos' and AUEB, Greece

Thierry Declerck, DFKI GmbH, Germany

Patricia Martín-Chozas, Ontology Engineering Group, Universidad Politécnica de Madrid, Spain

Martin Kaltenböck, Semantic Web Company, Austria

George Karvelis, European Public Law Organization, Greece

Marc van Opijnen, Publications Office of the Netherlands and European Case Law Identifier expert group, The Netherlands

Jeff Z. Pan, University of Aberdeen, United Kingdom

Pablo Calleja, Ontology Engineering Group, Universidad Politécnica de Madrid, Spain

Martin Theobald, University of Luxembourg, Luxembourg


For any question or request, please send an email to mnavas(AT)