Richard Zhu

Public Defense AI Pilot

A public-safe adoption packet for defense record triage, mitigation support, chronology packets, and attorney review.

2025ChicagoLegal AIMitigation recordsReview packets
Public Defense AI Pilot artifact
Public boundary

No client names, case names, docket details, sealed facts, privileged material, office documents, or identifying facts are published.

Proof surface

Public proof, private boundary, and status for this work object.
ClaimPublic proofPrivate boundaryStatus
Attorney-supervised workflowAI pilot PDF and public page describe review packets, chronology, and source trails.No client, case, docket, sealed, privileged, or identifying material is published.Public brief
Federal-defense contextRedacted federal-defense summary is linked as a public artifact.Office documents and case-level facts remain private.Redacted

Attorney-supervised workflow

Public proof
AI pilot PDF and public page describe review packets, chronology, and source trails.
Private boundary
No client, case, docket, sealed, privileged, or identifying material is published.
Status
Public brief

Federal-defense context

Public proof
Redacted federal-defense summary is linked as a public artifact.
Private boundary
Office documents and case-level facts remain private.
Status
Redacted

What I built

Legal records are timelines, people, stakes, and decisions that need to remain traceable. The pilot frames AI as infrastructure around the file: organize the record, surface relevant material, and keep counsel in control.

The public materials show source trails, review checkpoints, allowed uses, prohibited uses, and generated text that can be checked against the underlying file.

1,500+ pages of records, testimony, and social-science material synthesized in attorney-facing work
41 pp. implementation roadmap for supervised GenAI adoption in defense records
60 min. live demonstration of attorney-reviewable AI packet patterns
140+ regional providers contacted in a time-sensitive housing and reentry support search

Pilot scope

The first useful unit is a review packet: a constrained output that makes a lawyer faster without hiding the source burden.

Public defense pilot workflow, output, and review controls.
WorkflowOutputReview control
Record triageChronology rows tied to files and pages.Date, source, and confidence fields.
Mitigation supportLife-history and treatment issue maps.Attorney decides narrative, legal theory, and use.
Omission reviewMissing-source and conflict flags.Explicit status instead of polished silence.
Training packetChecklists, risk notes, examples.Review rubric before broader adoption.

Governance frame

  • Attorney review is mandatory. AI output is an index or triage layer, not advocacy.
  • Confidentiality comes first. No live confidential record should enter a tool without office-approved privacy, retention, and access controls.
  • Source traceability is required. Outputs should prefer page, file, excerpt, or record references over fluent prose.
  • No black-box conclusions. The system should surface uncertainty, conflict, and omitted context.
  • Bias and hallucination are operational risks. Review includes citation checks, source mismatch checks, omission review, and client-dignity review.

Thirty-day version

The first office-safe pilot can stay small: one supervising attorney, one attorney or mitigation specialist using the packet, one technically fluent operator, and one reviewer responsible for citations, omissions, and failure modes.

  1. select one records-heavy task
  2. prepare de-identified or approved material
  3. generate structured packet
  4. attorney review and correction
  5. expand, revise, or stop

What I learned

Legal AI gets weaker when it sounds polished before it becomes accountable. Defense work needs the opposite rhythm: start with the file, locate the human stakes, and use automation only where another person can check the result.