We invite contributors to submit:

• short papers (5-10 pages), or
• proposals for demos or interactive workshop exercises

We welcome works in progress, although depending on interest, we will give a preference to complete ideas that can be evaluated, shared and discussed.

The focus of submissions should be on AI tools, datasets, and approaches, whether large language models, traditional machine learning, or rules based systems, that solve the real world problems of unrepresented litigants or legal aid programs. Papers discussing the ethical implications, limits, and policy implications of AI in law are also welcome.

Other topics may include:

• findings of research about how AI is affecting access to justice,
• evaluation of AI models and tools intended to benefit access to justice,
• outcomes of new interventions intended to deploy AI for access to justice,
• proposals of future work to use AI or hold AI initiatives accountable,
• principles & frameworks to guide work in this area, or
• other topics related to AI & access to justice

Papers should follow the formatting instructions of CEUR-WS. (ceurart)

Submissions will be subject to peer review with an aim to possible publication as a workshop proceeding. Submissions will be evaluated on overall quality, technical depth, relevance, and the diversity of topics to ensure an engaging and high quality workshop.

You can download templates for the ceurart style in LaTeX or Microsoft Office formats.