Behavioral and logical model of how Google Vault stores matters, holds, retention policies, and manages eDiscovery exports across Workspace data. Hover over any component for technical detail.
ⓘ Hover over any item to see detailed technical information
vault application name. Events include: matter creation, hold changes, export jobs, and access events. These can be streamed to SIEM systems or BigQuery for compliance monitoring.
Vault is purely a control layer. It stores matter metadata, hold directives, retention rule definitions, and export job records — but not the underlying data. All preservation happens in-place in Gmail, Drive, and Chat stores. This means Vault's storage footprint is tiny; the compliance cost is in the native service stores.
The effective lifecycle of any piece of data follows this priority chain: Active Hold wins absolutely → if no hold, Retention Rule governs → if no rule, user controls deletion. Understanding this chain is essential for designing defensible legal hold and retention workflows.
During a Workspace tenant-to-tenant migration, Vault holds and retention rules do not migrate — they must be recreated in the destination tenant. Held data may be trapped in the source tenant and require export before migration. Export packages (MBOX, JSON) can be re-imported into destination tools or eDiscovery platforms.
Matter model, holds, retention rules, export formats, account lifecycle behavior: all documented in the Google Vault Help Center, Vault API v1 reference, and Admin SDK Reports API documentation. These are fully publicly documented behaviors. Underlying storage infrastructure details are not disclosed.