Generative AI and Legal Aid: Results from a Field Study and 100 Use Cases to Bridge the Access to Justice Gap
Loyola of Los Angeles Law Review 57(4), 903–988
This entry is based on the publisher’s abstract. Full-text assessment is pending.
What it adds
A field pilot examines AI adoption in legal aid, including practical use cases and randomized access to extra support. It brings practitioners' experiences into a collection otherwise dominated by benchmarks and simulated tasks.
Read with this limitation
Reported productivity gains are participants' assessments, not independently measured client outcomes. Randomization concerns additional support, not AI access versus no AI. Our current inspection covers the journal abstract, so detailed methods still require full-text assessment.
- Jurisdiction tags
- United States
- Language
- English
Follow the source
Selected statements located in the publisher’s abstract. These results have not been independently reproduced here.
The pilot gave 91 people up to two months of paid-tool access; a randomly selected subset received additional support.
Abstract
Connected research
Cited by
AI-Powered Lawyering: AI Reasoning Models, Retrieval Augmented Generation, and the Future of Legal Practice
Cites the legal-aid field study as prior evidence on AI use in practice.
Inspect the sourceEntry status, source edition & rights
- Index entry
- Source-linked summary, prepared with agent assistance. Independent scholarly review is pending.
- Archive admission
- This bibliographic entry does not confer admission to the versioned archive.
- Edition inspected
- https://digitalcommons.lmu.edu/llr/vol57/iss4/2/
- Reading coverage
- Primary journal abstract and bibliographic record inspected. Full journal PDF retrieval returned 403; no claim of complete full-text review. Publisher citation uses 2025 despite printed issue-year ambiguity.
- Rights
- External links only; no full text mirrored on the Site. No permission to republish the paper is asserted.
- Entry updated
- 2026-10-15
Source-linked summary · independent assessment pending.