AI tools, self-represented litigants & the future of access to justice
Many self-represented litigants are relying on artificial intelligence tools, often general-purpose chatbots. Courts and legal aid organizations face critical questions about whether and how to help self-represented litigants use AI tools in ways that are constructive. This month's webinar from the TRI/NCSC AI Policy Consortium for Law & Courts brought together leaders from state courts, legal services, and access to justice initiatives to explore this challenge.
Learning Objectives:
By the end of this session, participants are able to:
- Distinguish between court-provided AI tools and public AI tools.
- Assess the safeguards and policies courts and legal aid organizations should implement when developing or endorsing AI tools.
- Learn to apply emerging best practices and policy frameworks for leveraging AI to improve access to justice in their own jurisdictions or organizations.
Moderator:
- Helen Respass, senior managing editor, practical law, Thomson Reuters
Panelists:
- Stacey Marz, administrative director, Alaska Court System
- Aubrie Souza, senior court management consultant, NCSC
- Angela Tripp, program officer for technology III, Legal Services Corporation (LSC)
TRI/NCSC AI Policy Consortium for Law & Courts
An intensive examination of the impact of technologies such as generative AI (GenAI), large language models, and other emerging, and yet-to-be developed tools.
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