Successfully litigating an RJA claim requires specific evidence of bias that can be difficult to uncover manually. The following tools are designed to meet this challenge by analyzing discovery for racialized language and identifying systemic disparities in criminal justice data.
Berkeley Tech & Justice Lab
A textual analysis tool that identifies instances of racialized language per claims A1 and A2 of the California Racial Justice Act.
DocWrangler by UC Berkeley’s EPIC lab
5 min video demonstrating how to find epithets in police records with
DocWrangler: https://drive.google.com/file/d/1Q_2ZvGh78luzPZimG7mpDiSxGwxN2FQg/view?usp=sharing
Blog post on DocWrangler: https://data-people-group.github.io/blogs/2025/01/13/docwrangler/
Draft blog post with step-by-step instructions for RJA defense counsel: https://docs.google.com/document/d/1FAJMshBXxCKbSRH6dFJNLRHS97nTF959G_sm7akPWzQ/edit?tab=t.0
Measures for Justice
Provides AI-driven criminal justice data analytics that can reveal racial disparities in charging, bail, sentencing, and other decisions at the county level.
Recidiviz
Platform that uses machine learning to analyze criminal justice data and identify racial disparities in outcomes across different stages of the justice system.