EmployODR combines cutting-edge artificial intelligence with explainable visualization to democratize access to Online Dispute Resolution tools, making employment law guidance accessible to everyone.
GPT-3.5 Turbo with RAG system for accurate legal guidance
Personalized ODR tool suggestions based on your specific case
Side-by-side tool comparison with relevance scoring
Combining state-of-the-art AI technology with human-centered design to transform how people access employment law guidance and online dispute resolution tools.
Interactive conversational AI using GPT-3.5 Turbo with Retrieval-Augmented Generation (RAG) for accurate, contextual employment law guidance.
Side-by-side comparison of ODR tools with relevance scoring, cost analysis, and accessibility features to inform decision-making.
Curated legal knowledge base covering England and Wales employment law with real-time classification and triage capabilities.
Tailored ODR tool suggestions based on specific employment law issues, timing constraints, and individual circumstances.
Our work has been peer-reviewed and published in leading academic conferences and reports, contributing to the growing field of AI-enhanced access to justice. Not all publications listed are authored by EmployODR team members.
Novel application of GPT-3.5 Turbo with RAG for employment law guidance, achieving 95% legal accuracy in controlled testing environments. External validation ongoing.
Demonstrated significant potential for reducing barriers to legal information and dispute resolution tools for vulnerable populations.
Research methodology for transforming complex legal procedures into accessible user experiences.
An interdisciplinary team of experts in law, computer science, visualization, and AI, working together to advance access to justice through technology.
Interested in our research? Want to collaborate or learn more about EmployODR? We'd love to hear from you.
Bangor University, Bangor, Gwynedd, Wales, UK
glory.ogbonda@bangor.ac.uk
Department for Science, Innovation and Technology (DSIT) Regulators Pioneer Fund 3 (RPF3) & UKRI Centre for Doctoral Training in AI and Advanced Computing (AIMLAC, EP/S023992/1)
Solicitors Regulation Authority, Law Society, Access to Justice Foundation, Bangor University
We welcome collaboration opportunities with researchers, legal professionals, technology companies, and policy makers interested in advancing AI-enhanced access to justice. Our work spans multiple disciplines including: