Recidiviz is a criminal justice non-profit building technology that reduces the number of people in prison and on supervision, increases re-entry success, and makes communities safer. I joined Recidiviz's Sentencing team, which focuses on how to achieve these goals in the very beginning of the system when a person is going to trial. 

I worked with a team of designers, engineers, data scientists, product managers, and the Department of Corrections to design the Recidiviz Sentencing Assistant, a tool used by presentence investigators (PSIs), who are tasked with writing comprehensive reports that judges use to make informed sentencing decisions.

The tool supports PSIs in generating consistent and data-driven sentencing recommendations for criminal trials. By visualizing the outcomes of people with similar profiles and different sentences, it gives investigators and judges a rich feedback loop into which interventions reduce recidivism most. The assistant also surfaces relevant opportunities in that person’s county such as restorative justice, mental health treatment or drug courts, that might provide a given individual more successful outcomes than incarceration.

Team: Nora Grossman (Product Manager), Juan Agron (Head of Design), Lili Dworkin (Tech Lead Manger), Roshan Agawal (Backend Software Engineer), Mahmoud Osman (Frontend Software Engineer), Santi Mednoza (Implementation Engineer), Lily Fielding (State Growth Lead), Bend Packer (Data Scientist)

More info on this project coming soon.