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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Responsible by design: Evaluating & testing AI tools for accuracy and reliability
Learn how courts can evaluate and test AI tools for accuracy and reliability to ensure responsible use and improve access to justice for self-represented litigants.
The coming wave: How courts can prepare for AI-assisted litigation
Learn how courts can prepare for AI-assisted litigation, manage increased filings, and use data and tech to improve access to justice and court operations.
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