AI Assistance for Human Review of Default Judgments
Overwhelmed courts in the United States review millions of default judgments each year. Unfortunately, such manual reviews are time-consuming and prone to error. In an audit of 188 debt collection cases granted default judgment by the Superior Court of Los Angeles, we find that 4% contained major defects that should have entirely prevented default judgment, 10% contained inconsistencies requiring reduced judgments, and 32% contained errors requiring amendment prior to judgment. To support courthouses in default judgment review, we collaborated with courthouse attorneys and judges in designing a Default Assistant. The Default Assistant employs large language models to evaluate a case with ...
| Authors | Theodora Worledge, Othman Bensouda Koraichi, Daniel Bernal et al. |
|---|---|
| Primary category | cs.CY |
| Published | 4 June 2026 |
| Last updated at source | 4 June 2026 |
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