On December 11, 2024, in Brno, Czechia & online, we held our second annual AI for Access to Justice Workshop at the JURIX Conference.
The academic workshop is organized by Quinten Steenhuis, Suffolk University Law School/LIT Lab, Margaret Hagan, Stanford Law School/ Legal Design Lab, and Hannes Westermann, Maastricht University Faculty of Law.
In Autumn 2024, there was a very competitive application process, and 22 papers and 5 demo’s were selected.
The following presentations all come with a 10-page research paper or a shorter paper for the demo’s. The accepted paper drafts are available at this Google Drive folder.
Thank you to all of the contributors and participants in the workshop!
Session 1: AI for A2J Planning – Risks, Limits, Strategies
- LLMs & Legal Aid: Understanding Legal Needs Exhibited Through User Queries: Michal Kuk and Jakub Harašta
- Spreading the Risk of Scalable Legal Services: The Role of Insurance in Expanding Access to Justice, David Chriki, Harel Omer and Roee Amir
- Exploring the potential and limitations of AI to enhance children’s access to justice, Boglárka Jánoskúti Dr. and Dóra Kiss Dr.
- Health Insurance Coverage Rules Interpretation Corpus: Law, Policy, and Medical Guidance for Health Insurance Coverage Understanding, Mike Gartner
Session 2: AI for Legal Aid Services – Part A
- Utilizing Large Language Models for Legal Aid Triage, Amit Haim and Christoph Engel
- Measuring What Matters: Developing Human-Centered Legal Q-and-A Quality Standards through Multi-Stakeholder Research, Margaret Hagan
- Demo: Digital Transformation in Child and Youth Welfare: A Concept for Implementing a Web-based Counseling Assistant Florian Gerlach
Session 3: AI for Legal Aid Services – Part B
- Demo: Green Advice: Using RAG for Actionable Legal Information, Repairosaurus Rex , Nicholas Burka, Ali Cook, Sam Flynn, Sateesh Nori
- Demo: Inclusive AI design for justice in low-literacy environments, Avanti Durani and Shivani Sathe
- Managing Administrative Law Cases using an Adaptable Model-driven Norm-enforcing Tool, Marten Steketee, Nina Verheijen and L. Thomas van Binsbergen
- A Legal Advisor Bot Towards Access to Justice: Adam Kaczmarczyk, Tomer Libal and Aleksander Smywiński-Pohl
- Electrified Apprenticeship: An AI Learning Platform for Law Clinics and Beyond: Brian Rhindress and Matt Samach
Session 4: NLP for access to justice
- Demo: LIA: An AI-Powered Legal Information Assistant to Close the Access to Justice Gap, Scheree Gilchrist and Helen Hobson
- Using Chat-GPT to Extract Principles of Law for the Sake of Prediction: an Exploration conducted on Italian Judgments concerning LGBT(QIA+) Rights, Marianna Molinari, Marinella Quaranta, Ilaria Angela Amantea and Guido Governatori
- Legal Education and Knowledge Accessibility by Legal LLM, Sieh-Chuen Huang, Wei-Hsin Wang, Chih-Chuan Fan and Hsuan-Lei Shao
- Evaluating Generative Language Models with Argument Attack Chains, Cor Steging, Silja Renooij and Bart Verheij
Session 5: Data quality, narratives, and safety issues
- Potential Risks of Using Justice Tech within the Colombian Judicial System in a Rural Landscape, Maria Gamboa
- Decoding the Docket: Machine Learning Approaches to Party Name Standardization, Logan Pratico
- Demo: CLEO’s narrative generator prototype: Using GenAI to help unrepresented litigants tell their stories, Erik Bornmann
- Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice: Hannes Westermann and Jaromir Savelka