Regulatory Submission Document Classification

Regulatory Submission Document Classification uses AI to classify incoming regulatory documents by submission type, jurisdiction, and required response timeline, enabling regulatory affairs teams to triage and assign documents accurately at scale, by parsing document header signals and content against a regulatory taxonomy, across regulatory affairs management workflows.

Regulatory affairs teams in pharmaceutical, medical device, and food companies receive large volumes of documents from multiple regulatory agencies in multiple languages and formats. Manual sorting and priority assignment is slow, error-prone during high-volume periods, and relies on individual specialist knowledge that is not systematically encoded.

The AI reads each incoming regulatory document and assigns a submission type (safety signal, label update request, inspection notice, approval decision), jurisdiction, and urgency level from the document content and metadata. The classified record is routed to the responsible regulatory affairs specialist.

Regulatory document triage time decreases; misrouting rate decreases.

• •A taxonomy of regulatory document types and jurisdictions is agreed and maintained by the regulatory affairs team.
• •Labelled examples of each document type per agency are available for model training.
• •Document receipt channels (email, agency portals) are integrated into a single intake queue.