Caseload Management for Public Defender Offices: AI Patterns

Public defender offices face severe caseload pressure (NCSC data shows 200+ cases/attorney vs. recommended 40-60). This article catalogs AI patterns.

NCSC data (2024)

• Average public defender caseload: 200+ open cases per attorney
• Recommended maximum: 40-60 cases per attorney
• Some states: 800+ open cases per attorney in misdemeanor dockets

Source: https://www.ncsc.org/

AI patterns for caseload management

Triage based on urgency

AI classifies cases by:

• Court date proximity
• Charges and severity
• Available time-to-prepare
• Client vulnerability factors

Output: priority queue for attorney attention.

Task allocation

AI matches tasks to attorneys:

• Continuity (case familiarity)
• Workload balancing
• Specialized training
• Locale preferences

Pre-hearing preparation

AI generates:

• Witness preparation checklists
• Exhibit lists
• Discovery review summaries
• Motion template drafts

Lawyer verifies and edits.

Conflict checks

AI flags:

• Witness relationships to existing clients
• Judge history with clients
• Co-counsel conflicts

Compliance tracking

AI tracks:

• Court date deadlines
• Discovery deadlines
• Filing deadlines

Output: daily task list per attorney.

Limitations

AI assistance does NOT solve:

• Inadequate staffing
• Funding shortfalls
• Witness cooperation
• Evidentiary complexity

AI is a tool, not a substitute for systemic funding.

Acknowledgments

This article summarizes public sources and observed 2024 patterns.

Dillon Deutsch has worked with public defender offices on AI caseload management. https://courtgpt.ai