Call for papers
We invite submissions of extended abstracts with a maximum length of two pages ACM style.
List of topics for submissions:
- Data collection and benchmark development for legal IR
- Evaluation in the legal domain
- Text processing for legal IR
- Ranking models tailored to the legal domain
- Search UI/UX for the legal domain
- Case law retrieval
- Expert finding in legal (e.g., finding the right lawyer for a case)
- Legal Question Answering
- Legal Knowledge Graphs
- Bibliometric-enhanced legal information retrieval
- Other IR tasks in the legal domain
Abstracts may describe relevant contributions (scientific or practical), work in progress, or summarize previously published work in high-quality venues that has a high relevance to the workshop. We also warmly welcome submissions from industry. In case of submitting an abstract about previously published research, please refer to the original publication in your abstract.
You don't need to anonymize your abstract; the reviewing process will be single blind. The selection of papers is based on relevance to the workshop and quality of the research. Since extended abstracts might summarize previously published work, novelty is not the main criterion. We encourage participants to join us on-site.
Please format your abstract using LaTeX. You can use this Overleaf template.
- Submission deadline: January 20, 2023
- Notification: February 17, 2023
- Workshop date: April 2nd, 2023
Submission URL (EasyChair): https://easychair.org/my/conference?conf=legalir2023
- Suzan Verberne, Leiden Institute of Advanced Computer Science, Leiden University, The Netherlands
- Evangelos Kanoulas, Informatics Institute, University of Amsterdam, The Netherlands
- Gineke Wiggers, eLaw Center for Law and Digital Technologies, Leiden University, The Netherlands
- Florina Piroi, Institute of Information Systems Engineering, TU Wien, Austria
- Arjen P. de Vries, Institute for Computing and Information Sciences, Radboud University, The Netherlands
- Maura R. Grossman, J.D., Ph.D. is a Research Professor in the School of Computer
Science at the University of Waterloo, an Adjunct Professor at Osgoode
Hall Law School of York University, and an affiliate faculty member at the Vector
Institute of Artificial Intelligence, all in Ontario, Canada. She also is Principal
at Maura Grossman Law, an eDiscovery law and consulting firm in Buffalo, New York, U.S.A. Maura is most well known for her scholarly work on technologyassisted
review (“TAR”), which has been widely cited in case law, both in the
U.S. and abroad. She is also known for her appointments as a special master in
multiple high-profile U.S. federal and state court cases.
- Milda Norkute is a Lead Designer at Thomson Reuters Labs in Zug, Switzerland,
one of several labs worldwide. She works closely with data scientists and
engineers on enhancing products and services across Thomson Reuters product
portfolio such as Westlaw Edge, Practical Law and others with Artificial Intelligence
(AI) solutions. Milda’s work is focused on user research and design of
the products to figure out how and where to put the human in the loop in AI
solutions taking into account, for example, their explainability needs when interacting
with such systems and selecting suitable mechanisms. She is also currently
co-leading the Human Centred AI research theme as part of the Labs research
program. Before joining Thomson Reuters Milda worked at Nokia and CERN.
Milda holds a masters in Human Computer Interaction and a bachelors degree
- Tjerk de Greef is a Director of Advanced & Search Technology in the global technology organization ofWolters Kluwer. Tjerk (or TJ) is keen to merge the worlds of Data, Artificial Intelligence, and Search in the Legal & Regulatory domain. Many innovations in Information Retrieval rely on the application of artificial intelligence. He is passionate to merge the deep understanding of legal professionals with advanced technologies to drive and deliver customer value at scale. As a tech-savvy leader, he applies the state-of-the-art Agile DevOps practices following a User Centered Design methodology. In this role TJ is responsible for a centralized ring-fenced Advanced Technology team acting as a central hub for all Legal and Regulatory AI engagements in Wolters Kluwer, aiming to reduce technology sprawl.