PlatformReference architecture

Architecture — three concentric layers.

An identity + trust foundation, a regulated content + AI platform, and a capability layer composing ECM + CLM + eSign + eDiscovery + workflow + IDP on top.

The stack

The 3 layers.

Read from the bottom up. Every layer above inherits the identity model and audit chain of the layer below it, and capabilities share data by reference rather than by copy. Talk to an architect.

02

Regulated content + AI platform — TeamSync platform

Intelligent Repository for records-of-record. Document Data Lake for analytics. AI copilot (DocuTalk, Semantic Search, Agentic AI Workflow, Document Summarisation) operating on the platform. Permissions-aware retrieval scoping at every request.

01

Identity + trust foundation — AccessArc

Identity federation, RBAC + ABAC enforcement, per-tenant envelope encryption, customer-controlled key custody, Merkle audit ledger, multi-region tenancy.

Deployment

Deployment topology.

Where the platform runs, how it stays up, and what survives a region loss.

ElementDetail
Cloud portabilityAWS, Azure, GCP, OCI; including AWS GovCloud, Azure Government / GCC High, Google Cloud for Government, OCI Gov
Multi-regionPer-tenant region selection; per-class residency; cross-region attestation for the audit ledger
High availabilityMulti-AZ active-active per region; configurable RPO + RTO
Disaster recoveryCross-region DR with audit-trail continuity
Edge / mobileMobile clients sync to nearest region; offline capture supported
Integration

Integration architecture.

TeamSync coexists with the systems of record already in place. See the full connector directory.

Integration typeMechanism
IdentitySAML, OIDC, SCIM with the customer's IdP
Content syncREST + SDK + webhook + Kafka-stream for high-volume
FederationConnectors to iManage, NetDocuments, M365, SharePoint, OpenText, Documentum, Veeva, Procore, Salesforce, Workday, ServiceNow, vertical apps
AI orchestrationModel adapter pattern; per-model evidence emission; per-tenant model selection
Hyperscaler MLAWS Bedrock, Azure OpenAI, Vertex AI integration via the model adapter
Performance envelope

Sized for the largest regulated estates.

Multi-billion
Documents per tenant
Tens of thousands
Concurrent users
Petabyte-scale
Storage per cluster
Cluster tier
AI queries per second and audit-event throughput are each sized to the cluster tier
Architecture review

Walk the architecture with us.

90 minutes with your architects and a TeamSync architect. The output is a stack-mapping document showing what stays, what goes, what coexists.