

Results from the First Field Study of AI for Legal Aid
5 snips Jun 11, 2024
Miriam Kim, a partner at Munger Tolls & Olson and fellow at the Berkeley Center for Law and Technology, joins Colleen Chien, a law professor and co-director at Berkeley Law School, to discuss their groundbreaking research on generative AI for legal aid. They unveil key findings from their paper, revealing how AI can bridge access to justice gaps. The duo delves into the ethical implications, the importance of community support, and how collaboration can enhance legal service delivery, ultimately transforming the landscape of pro bono work.
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Deliberate Deployment Unlocks AI's Promise
- AI can be an equalizing force only if deployment is deliberate and studied.
- Rigorous pilots and randomized trials reveal whether AI actually improves legal aid outcomes.
Tenderloin Clinic Joined The Pilot
- The Lawyers Committee's Tenderloin drop-in clinic joined the pilot after Miriam approached them.
- Bréyon's team used the clinic to test AI tools with real low-income clients and volunteers.
Equip Frontline Staff First
- Give frontline legal aid workers tools, training, and support before scaling AI solutions.
- Create feedback loops from practitioners back to developers to improve tools and adoption.