ARTIFICIAL INTELLIGENCE AND ACCESS TO JUSTICE PRACTICUM
(LAWP-4035) - 3 UNITS
In the Artificial Intelligence and Access to Justice Practicum students will be given a unique opportunity to not only discuss but to participate in the use of technology - specifically artificial intelligence platforms - as a means of providing broader access to justice to underrepresented groups. Through a partnership between Loyola Law School, Legalmation, Inc., and Neighborhood Legal Services of Los Angeles, students will learn and then build an artificial intelligence platform to respond to pleadings or written discovery in landlord tenant matters. Students will spend the first weeks of the course learning the basics of landlord tenant law, then will be taught how to build the AI platform, and finally will work with the Director of Legal Technology at NLSLA and Legalmation to train the actual technology to create drafts of legal documents which will serve low income landlords and tenants in Los Angeles.
The initial class sessions will be held at LLS. Thereafter, students will spend 1-2 weeks shadowing NLSLA attorneys representing clients at the Shriver Landlord Tenant Clinic, at the Stanley Mosk Courthouse in downtown Los Angeles (111 N. Hill Street, Los Angeles, CA 90012). Students will spend the second half of the semester training the technology at NLSLA's office (1102 East Chevy Chase Drive, Glendale, CA 91205.) Students must be available to attend class sessions at all three locations. Students will be required to work 4-8 hours each week training the technology depending on the number of units they sign up for.
Professor approval required. Interested students should send the following to Charlie Gillig of NLSLA (CharlieGillig@nlsla.org): a resume, an unofficial transcript, and a cover letter which reflects your experience with technology (none required), and why you want to be a part of this program. Students will be accepted on a rolling basis, first-come, first-served. Applications will not be accepted after Monday, July 29, 2019 at 12:00 noon. This program is limited to 4 students.