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Google Gemini Connector for eDiscovery & AI Data Collection
Collect Google Gemini prompts, responses, and conversation metadata for eDiscovery, compliance, and investigations, without waiting on IT. The Onna + Google Gemini Connector delivers defensible, structured access to AI-generated content across your organization.
Why Connect Google Gemini to Your eDiscovery Platform
Google Gemini is rapidly becoming a core layer of enterprise productivity powering AI-generated content, decision support, and internal workflows. That introduces a new category of discoverable data: AI interactions.
However, collecting Gemini data isn’t straightforward:
AI conversations are not stored like traditional files
Content is generated dynamically (prompt → response)
Data access is governed by Google Vault retention policies
There is no direct real-time API for extraction
The Onna + Google Gemini Connector solves this by leveraging Google Vault’s eDiscovery API to collect AI conversations in a structured, defensible format. This ensures organizations can preserve, review, and produce AI-generated content alongside traditional collaboration data.
Google Gemini Connector Capabilities
The Onna + Google Gemini Connector is purpose-built for AI data governance at scale. Key capabilities include:
Secure authorized connection via Google service account
Custodian-based collection of Gemini activity
Audit logs for all collection activity
Full archive support via Vault retention policies
One-time, auto-sync, and archive sync modes
Incremental sync using time-based checkpoints
Resumable workflows for long-running exports
Structured conversation ingestion (prompt + response pairs)
Metadata capture including model version and timestamps
These capabilities enable organizations to operationalize AI governance workflows across legal, compliance, and security teams.
What Data Can Be Collected from Google Gemini
The connector captures structured AI interaction data from Google Gemini environments via Google Vault, including:
Conversations
Full Gemini conversation threads
Chronological prompt and response sequences
Custodian-linked conversation grouping
Messages (Per Turn)
User prompts (input to Gemini)
AI-generated responses
Parent-child relationships between prompts and responses
Participants
Custodian (Workspace user)
Gemini system (synthetic AI participant)
Content Structure
Conversation threads as standalone reviewable units
Clearly distinguishable human vs. AI interactions
This structured model ensures investigators can fully reconstruct AI-assisted decision-making workflows.
Google Gemini Metadata Collected
In addition to standard metadata, the connector captures AI-specific attributes:
Conversation ID and thread ID
Custodian (user) email
Conversation timestamps (created and modified)
Message-level timestamps
Model version used for each response
Total turns and message counts
Export format and source attribution
Folder path organization by custodian
This metadata enables advanced filtering, timeline reconstruction, and model-level analysis across AI usage.
Onna + Google Gemini Connector Requirements
To connect Google Gemini to the Onna platform, the following requirements must be met:
Google Workspace account with Google Vault enabled
Google Gemini enabled within the organization
Google Vault admin permissions
Service account with domain-wide delegation
OAuth scopes for Vault and Cloud Storage access
Authorized connection configured in Onna
Because Gemini data is accessed through Vault, only content retained under Vault policies is available for collection.
How Google Gemini Data Collection Works
The connector uses an export-driven workflow powered by Google Vault.
Add Google Workspace as a data source
Configure the parent data source with admin credentials and domain settings.
Authenticate the connection
Use a service account with domain-wide delegation and Vault permissions.
Configure the collection
Define collection settings including:
- Custodians (users)
- Date range (optional)
- Sync mode (one-time, auto, archive)
Initiate vault exports
Onna submits export requests to Google Vault for each custodian.
Monitor export processing
Exports run asynchronously and may take minutes to hours depending on volume.
Ingest and normalize data
Onna downloads, parses, and structures conversations into searchable records.
Search and review
Collected Gemini data is immediately searchable within the platform.
Google Gemini Data Collection Options
The connector supports flexible sync configurations:
One-Time Sync
Targeted collection for investigations or legal matters.
Auto Sync
Continuously captures new Gemini conversations as they are retained in Vault.
Auto Sync + Archive
Maintains a defensible long-term archive of AI interactions.
Common Google Gemini eDiscovery Use Cases
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
Ensure AI usage aligns with emerging regulatory requirements.
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Onna + Slack Enterprise Connector FAQs
No. Gemini data is collected through the Google Vault eDiscovery API, not a direct Gemini API.
Prompts, responses, conversation threads, timestamps, and model metadata are collected as structured conversation records.
No. Collection depends on Vault export processing, which introduces a delay between activity and availability.
Yes. The connector supports custodian-based collections using defined user lists.
Only if they fall within your Google Vault retention policies or legal holds.
No. Google Vault currently only exports text-based prompts and responses.
Yes. All collections are logged with audit trails and follow a structured export process through Google Vault.
Start Collecting Google Gemini Data for eDiscovery
Connect Google Gemini in minutes and begin collecting AI-generated content across your organization for compliance, investigations, and governance.