Classified and controlled-unclassified information may require restricted processing. PrivateDocs AI runs core RAG workloads on hardware you control; deployment authorization, accreditation, and network procedures remain the agency's responsibility.
Alternatives replaced: ChatGPT Enterprise · Microsoft Copilot for Microsoft 365 · AWS Bedrock GovCloud · Azure OpenAI Gov · Glean
Evaluate controlled document workflows on hardware you already own, with local AI processing and no document-content vendor path.
Install the native desktop app on the agency-issued laptop or workstation. No server to provision, no tenant to configure, no cloud connector.
Add policy manuals, directives, technical specifications, and supported PDFs to the vault. Advanced Parsing can OCR image-only PDFs.
Run core inference and vector search offline after setup and activation. Any restricted or accredited environment must approve the software and its deployment process.
Review the local AI data path alongside the agency's endpoint, network, accreditation, and records-handling requirements.
Inference, embeddings, and vector search run on the user's machine. No vendor data path to audit.
Every response links back to the exact source paragraph or row, so verification never means re-reading the binder.
Retrieval pulls only the relevant chunks per query — your index can be terabytes, not pages, with no per-token billing.
The local architecture may fit controlled-unclassified or similarly restricted workflows, but suitability is not a certification. The responsible agency must approve the software, hardware, network procedure, and accreditation before use.
Initial setup, sign-in, activation, model downloads, and optional updates use the network. Core inference and vector search can run offline afterward; deployment authorization remains the agency's responsibility.
Because there is no vendor data path for the AI workload, the standard subprocessor audit doesn't apply. The only thing that touches our servers is the lightweight account and billing flow, which can be reviewed under a standard agreement.
Yes. The vault is a local, exportable folder on the user's machine. It can be moved, archived, or destroyed under the agency's existing data-handling policy — there is no tenant to decommission.
$249 one-time license. No recurring fees. Document content stays local for AI processing.
Chat with supported data-room files — NDAs, purchase agreements, and disclosure schedules — without sending document content to a third-party AI cloud.
Layer 10-Ks, earnings commentary, and CSV data extracts into one analytical surface — with Chinese walls intact.
Summarize longitudinal notes, policy manuals, and reference PDFs where PHI must stay inside approved systems — not in a consumer chat product.
Query experiment logs, regulatory submissions, and internal memos without publishing trade-secret drafts to a hosted cloud assistant.