A data science tool for the Three Strikes Project at the Stanford University School of Law that proactively and automatically identifies candidates in California’s prison system who are suitable for “second-look” case reviews via Prosecutor Initiated Resentencing. Our tool aims to eliminate barriers to sentence reform, and make case reviews easier, faster and fair.
The Three Strikes Project is legal clinical seminar where law students represent individuals serving life sentences for non-violent offenses under California’s Three Strikes Law. Lawyers assist district attorney’s offices throughout the state who are seeking opportunities to safely and effectively reduce California’s prison population through Prosecutor Initiated Resentencing (PIR). But, given that there are over 100,000 people in California’s prisons, lawyers need efficient and accurate ways to identify those who are eligible for PIR instead of manually reviewing piles of paperwork. Redo.io’s open-source eligibility tool helps lawyers filter their caseload and apply their expertise efficiently. We are currently under a contract with Stanford Law to develop this application.
A rules-based and deterministic model that generates cohorts of individuals eligible for PIR based on criteria established by district attorney’s offices.
What it is:
What it is not:
If you make use of our dataset(s) or code, please cite our work as follows:
“Redo.io. resentencing-data-initiative (Version 1.0.0) [Computer software]. https://github.com/redoio/resentencing_data_initiative/“
@software{Redo_io_resentencing-data-initiative, author = {{Redo.io}}, title = {{resentencing-data-initiative}}, url = {https://github.com/redoio/resentencing_data_initiative/}, version = {1.0.0}}
All content in this project is licensed under GNU AGPLv3
You must give appropriate credit to our work. You may not use our work for commercial purposes, which means anything primarily intended for or directed toward commercial advantage or monetary compensation.