Clerkloop

Government agencies deploying resident-facing AI assistants may need to preserve and retrieve interactions under existing public-records and retention regimes. The supplied research confirms mature archiving products for social media and government communications but found no reviewed product classifying AI interactions against retention schedules and assembling them for records requests. It also warns that one cited state AI-law trigger was blocked and substantially changed, so the durable case rests on jurisdiction-specific records obligations rather than that enforcement claim.

Clerkloop would capture the resident request, assistant response, timestamp, channel, sources shown, system and model version when available, agency context and later correction. A proposed record series would link to the exact retention-schedule version and rationale. A records officer would confirm, change or reject the classification, apply a legal hold, authorize disposition and decide what enters a request response.

Not every interaction is necessarily a public record, and public does not mean immediately disclosable. Retention, privilege, exemptions, confidentiality, accessibility, identity verification and redaction vary by jurisdiction and request. A search hit is a candidate, not a responsive determination. A redaction suggestion is not legal authority. A generated packet is a review draft until the designated records officer and counsel complete their process.

Resident conversations may contain personal, health, benefit, immigration, tax or safety information. The pilot needs strict agency and role boundaries, encryption, minimization, legal holds, deletion only under approved disposition and a complete export audit trail. The system should not infer legal status or merits from conversation content. The buyer hypothesis is a records officer, clerk, general counsel, information-governance leader or digital-services director at a public agency; jurisdiction, agency tier, assistant volume, schedule format, request burden, procurement path and budget need validation.

A records officer, clerk, general counsel, information-governance leader or digital-services director responsible for resident-facing AI records at a public agency.