Modernizing unauthorized practice of law regulations to embrace AI-driven solutions & improve access to justice
The growing access-to-justice crisis coupled with the rapid pace of AI innovation creates a unique opportunity for state courts and bar associations to meet the moment by adopting regulatory reforms that support AI-fueled legal service delivery tools to responsibly assist with legal needs. Join the TRI/NCSC AI Consortium for Law & Courts for a panel discussion on potential reforms to unlicensed practice of law (UPL) regulations.
Following this session, participants will be able to describe:
- Current access to justice challenges
- The range of state approaches to UPL
- Three potential approaches to UPL reform
Moderator & Panelist:
- Stacey Marz, administrative director, Alaska Court System
Panelists:
- Cathy Cunningham, senior specialist legal editor, Thomson Reuters (recorded message)
- Dyane O'Leary, director, legal innovation & technology, Suffolk University Law School
- Nathanael Player, co-founder, Justice by Design
- Colin Rule, CEO, odr.com
For more information, contact Keeley Daye.
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.
Explore more
Modernizing unauthorized practice of law regulations to embrace technology, improve access to justice
State supreme courts and bar associations must lead modern regulatory reform to effectively govern the responsible use of AI and technology-enhanced legal services products.
Exploring the effects of AI & generational shifts in the workforce
Gain insights into the use of AI by courts and how AI can help courts address current operational demands and the effects of workforce changes on court operations.
Key considerations for the use of GenAI tools in legal practice & courts
Learn foundational best practices for use of GenAI with an emphasis on the rigor of application for these practices being proportional to the intended use and the risk level associated with that use.