Collect Google Gemini Data for eDiscovery, Compliance, and Investigations
AI-generated content is now part of business-critical workflows, and your discoverable record. The Onna + Google Gemini Connector gives legal, compliance, and IT teams defensible, structured access to Gemini prompts, responses, and conversation metadata, all without relying on IT.
Use Cases
Common Gemini eDiscovery Scenarios
- AI Governance & Oversight: Monitor how employees use generative AI across the organization.
- Litigation Response: Collect AI-generated content relevant to legal matters and case strategy.
- Internal Investigations: Analyze prompts and outputs tied to policy violations or misconduct.
- Regulatory Compliance: Align AI usage with emerging regulatory requirements.
- Data Risk & Security: Identify sensitive data exposure through AI prompts andresponses.
Why Connect Gemini To Your eDiscovery Platform
Gemini is becoming a core layer of enterprise productivity. That introduces a new category of discoverable data: AI-generated content. Collecting that data is not straightforward.
- AI conversations aren’t stored like traditional files
- Content is generated dynamically, prompt to response
- Access is governed by Google Vault retention policies
- There is no direct real-time API for extraction
How Onna Solves It
The Onna + Google Gemini Connector uses Google Vault’s API to collect AI conversations in a structured, defensible format. Your teams can preserve, collect, and search AI-generated content in the same platform you already use for Slack, Teams, Google Workspace, and dozens more sources.
Result: AI data becomes part of your defensible single source of truth, not a separate workflow.
Key Capabilities
Built For AI Data Governance at Scale
The Onna + Google Gemini Connector is purpose-built to operationalize AI governance across legal, compliance, and security teams.
- Secure authorized connection via Google service account
- Audit logs for all collection activity
- One-time, auto-sync, and archive sync modes
- Incremental sync using time-based checkpoints
- Resumable workflows for long-running exports
Collections
What Data You Can Collect from Google Gemini
Conversations
Full Gemini conversation threads, chronological prompt and response sequences, and custodian-linked conversation grouping.
Messages (per turn)
User prompts (input to Gemini), AI-generated responses, and parent-child relationships between prompts and responses.
Participants
The custodian (Workspace user) and the Gemini system, captured as a synthetic AI participant for clear human-vs-AI attribution.
Structure
Conversation threads as standalone reviewable units, with clearly distinguishable human and AI interactions, so investigators can reconstruct AI-assisted decision-making.
Metadata
AI-specific Attributes Captured
Each collection captures rich metadata, including conversation and message timestamps, custodian identity, model version used per response, and thread structure. This enables advanced filtering, timeline reconstruction, and model-level analysis across AI usage.
Start collecting Gemini data
Connect Gemini in minutes and bring AI-generated into the same defensible workflow you use for the rest of your collaboration data. Get a demo.