Apart from their assigned mod courses, 1L students may only enroll in courses offered as 1L electives. A complete list of these courses can be found on the 1L Elective Listings page. 1L students must use the 1L class number listed on the course description when enrolling.
283I sec. 001 - Global Rights Innovation Lab Clinic Seminar (Spring 2026)
Instructor: Laurel E Fletcher (view instructor's teaching evaluations - degree students only | profile)
View all teaching evaluations for this course - degree students only
Units: 2
Grading Designation: Credit Only
Mode of Instruction: In-Person
Meeting:
W 3:35 PM - 5:25 PM
Location: Law 113
From January 14, 2026
To April 22, 2026
Course End: April 22, 2026
Enrollment info:
Enrolled: 0
Waitlisted: 0
Enroll Limit: 8
As of: 12/08 12:27 AM
The Global Rights Innovation Lab Clinic (GRIL) offers students a unique opportunity to integrate digital technologies into legal advocacy. Our particular field of application is human rights, but this approach is broadly transferable to other areas of law and client-facing work in the fields of data science, public policy, and other social sciences.
GRIL students utilize data-driven and technological advancements for groundbreaking legal advocacy strategies. Serving organizational clients, like grassroots organizations as well as national and international human rights groups, GRIL provides advocacy support and strategies to forge new pathways to address human rights challenges. GRIL clients want to harness data analysis, data science, and visualization to advance human rights investigations, litigation before national and international courts, or social justice policy advocacy.
GRIL is a multidisciplinary clinic, with law students and graduate students of data science/data analytics working together. Data science/data analytics students design and implement data analyses and modeling on large datasets to support legal claims of rights violations. Law students apply the data findings to identify legal violations, propose policy, and support rights campaigns. GRIL’s multidisciplinary techniques allow advocates to detect patterns of violations, identify perpetrators, and link insights from data to support case theory, new legal claims, and persuade decision makers to act.
By enrolling in this clinic, law students can expect to acquire valuable skills, including legal research and writing, interviewing, acquiring literacy in the application of data science to legal advocacy initiatives, strategic planning, creative problem-solving, as well as building confidence and experience in harnessing digital technologies for legal advocacy.
Data science students and students specializing in data analysis will gain valuable skills, including hands-on experience with programming languages like R and Python, data wrangling, statistical analyses, and machine learning models. Additionally, they will develop expertise in communicating complex quantitative findings to non-expert audiences.
All students will develop the ability to craft experimental strategies that leverage technology for social justice. Prepare for cutting-edge legal practice!
This course is targeted for those with a background in data analysis and/or human rights and who have a passion for creativity and are eager to embrace experimentation. At the GRIL Clinic, unleash your imagination and analytical prowess to craft innovative solutions for the future of human rights advocacy, developing new approaches in justice and technology.
Admission to GRIL Clinic is by separate application through the Clinical Program portal. For the Spring semester, the application will open on November 4, and will be due on November 12.
Students must enroll in both the seminar and the companion clinical component.
Attendance at the first class is mandatory for all currently enrolled and waitlisted students; any currently enrolled or waitlisted students who are not present on the first day of class (without prior permission of the instructor) will be dropped. The instructor will continue to take attendance throughout the add/drop period and anyone who moves off the waitlist into the class must continue to attend or have prior permission of the instructor in order not to be dropped.
Exam Notes: (None) Series of papers or assignments throughout the semester
(Subject to change by faculty member only through the first two weeks of instruction)
Course Category: Clinics
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