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Public Defense AI Workflow Pilot

Records, mitigation, and attorney review. A concise proposal for narrow, auditable AI workflows in public defense settings.

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Purpose

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.