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Research

Can LLMs Synthesize Court-Ready Statistical Evidence? Evaluating AI-Assisted Sentencing Bias Analysis for California Racial Justice Act Claims

Aparna Komarla | ACM Conference on Human Factors in Computing Systems (CHI) | April 2026

A small-scale evaluation using human statisticians of our racial bias analysis tool that details accuracy and performance of AI assistants in synthesizing statistical evidence for Racial Justice Act A(4) claims. Presented in the Late Breaking Work Series at the 2026 ACM Conference on Human Factors in Computing Systems (CHI). Read More

AI-Powered Resentencing: Bridging California's Second-Chance Gap Through Natural Language and Vector-Based Legal Analytics

Aparna Komarla | AI for Access to Justice Workshop (AI4A2J) at JURIX and International Conference on AI and Law (ICAIL) | May 2026

Presents the system design for identifying similarly situated cases through natural language and vector-based search, surfacing candidates suitable for resentencing, and integrating AI for synthesis of statistical evidence of racial disparities in sentencing outcomes into the analysis pipeline. Presented at the AI for Access to Justice (AI4A2J) Workshop, International Conference on Artificial Intelligence and Law (ICAIL) 2025; AI4A2J Workshop, JURIX 2025; and Association for Public Policy Analysis and Management (APPAM) Fall Research Conference 2025.
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