# Proactive Disclosure and Records Management

Reactive records processing — waiting for requests and then scrambling to respond — is the most expensive and least effective approach to government transparency. Progressive agencies are shifting to proactive disclosure: publishing frequently requested records, datasets, and documents online so the public can self-serve. This reduces request volume, improves public trust, and allows FOIA staff to focus on complex requests rather than routine ones.

Identifying Records for Proactive Disclosure

AI helps analyze your request history to find patterns:

PROACTIVE DISCLOSURE ANALYSIS
Here is a summary of our public records requests from the past 2 years:
[Paste or summarize — categories, frequencies, departments, document types]

Identify:
1. TOP 20 MOST REQUESTED RECORDS: What specific records or categories
   are requested most frequently? These are prime candidates for
   proactive disclosure.
2. ROUTINE VS. UNIQUE: What percentage of requests could be satisfied
   by records that are already publicly available if they were
   easier to find?
3. COST ANALYSIS: For each top-20 category, estimate the annual staff
   time spent processing these repetitive requests at $[hourly rate].
   This is the ROI of proactive disclosure.
4. SENSITIVITY SCREENING: For each candidate record category, are there
   any exemption concerns that would prevent or complicate proactive
   disclosure? (e.g., records that always require individual redaction)
5. PUBLICATION RECOMMENDATION: For each viable category, recommend:
   - Format for publication (PDF, searchable database, API, data portal)
   - Update frequency (real-time, daily, monthly, quarterly)
   - Platform (agency website, data portal, reading room)