Legal-specific · eDiscovery and litigation · Medium confidence

Exterro Assist for Data

Exterro · Exterro eDiscovery/forensics/governance with Assist for Data (in-house agentic AI). Other Exterro AI modules may differ. On-prem, customer VPC, or hybrid.

Data-risk platform with in-house agentic AI that the vendor says never trains on customer data and never sends data to third-party model APIs. ISO 27001 (Jan 2026), SOC 2 Type II, FedRAMP Moderate claimed.

Opens a private software assessment of Exterro Assist for Data for one task, with this profile’s questions to hand.

eDiscovery document reviewKnowledge searchAgentic workflows
Published facts
DeploymentSaaS, On-premises, Private cloud, Hybrid
Hosting regionsUnknown
Australian regionUnknown
Model providersExterro in-house (Assist for Data)
AssuranceSOC 2 Type II, ISO 27001, FedRAMP Moderate, HITRUST
Training on customer contentNo
Retention summaryAssist for Data: queries and outputs claimed to remain in the customer perimeter and follow the organisation's retention. SaaS retention periods not stated.
Pricing summaryNo public list prices.
Australian presenceUnknown — On-prem/VPC could be hosted in AU by the customer. No AU SaaS region stated.

Product and intended use

Define the configuration, people, information and tasks being assessed.

productPlan

Public claim only

Exterro eDiscovery, digital forensics and data governance. Assist for Data is the in-house agentic AI (ARMOUR). Distinct from generic LLM APIs. On-prem, customer VPC, or hybrid.

Ask: Confirm Assist for Data versus other Exterro AI, and deployment model.

deployment

Public claim only

On-prem, private cloud (customer VPC), or hybrid. Processing claimed to stay in the customer environment; no data to external model providers.

Ask: Which deployment for our tenant?

Adoption and implementation

Record the practical work needed to introduce and maintain the software.

Quality and human effort

Compare complete work at the required quality, including checking and correction.

qualityEvidence

Public claim only

Model versions pinned; results validated; not a generic LLM. No independent accuracy study.

Ask: Validation metrics on our data types?

Data, controls and requirements

Compare the actual configuration with firm, client and jurisdiction requirements, supported by evidence.

clientAuthority

Not confirmed

Typically internal legal/compliance.

Ask: External users?

modelProvider

Public claim only

In-house agentic system, not a third-party API (vendor). Other Exterro AI features may differ.

Ask: Does any module still call OpenAI/Anthropic?

subprocessors

Not confirmed

Assist for Data claims zero third-party access. Broader Exterro SaaS subprocessors unknown.

Ask: Subprocessor list for our deployment?

trainingUse

Public claim only

TAS protocol: no training on customer data; no learning loop; no dataset reuse. Marketing article, not a signed DPA extract.

Ask: Put no-training in the contract for all modules.

retention

Public claim only

No storage of queries/outputs outside the customer perimeter; follows organisation retention.

Ask: What does Exterro retain in SaaS versus on-prem?

connectors

Public claim only

Endpoints for FTK/ARMOUR.

Ask: Enabled connectors?

Sources

Official pages reviewed for this profile, last reviewed 2026-09-21.

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