Public Defense AI Workflow Pilot
Records, mitigation, and attorney review. A concise proposal for narrow, auditable AI workflows in public defense settings.
Download PDFPurpose
Public defense teams face discovery, medical records, transcripts, mitigation history, and client communications at a scale that routinely exceeds staff time. This pilot treats AI as a supervised workflow aid: useful for triage, organization, chronology, and review support, never as a substitute for attorney judgment.
Pilot scope
- Record triage and source-linked chronology for large records sets.
- Mitigation support through structured life-history, treatment, family, and reentry issue maps.
- Internal workflow documentation, including attorney review checklists and risk notes.
Governance frame
- Attorney review is mandatory for every output.
- Confidentiality controls come before experimentation with live data.
- Source references, uncertainty, and omissions matter more than fluent prose.
- Bias, hallucination, and overreliance are operational risks to be measured and trained against.
What this demonstrates
Risk-aware legal AI adoption judgment: translating real defense workflow pain into a limited pilot with source control, training materials, review rubrics, and a practical decision point for expansion or redesign.