Does this retention apply to uploaded documents?

Yes, you can set separate retention and auto-delete policies for documents uploaded into the Retrieval-Augmented Generation ( RAG ) knowledge base.

Does this retention apply to uploaded documents?

Yes, you can set separate retention and auto-delete policies for documents uploaded into the Retrieval-Augmented Generation ( RAG ) knowledge base.

Feature

Data Retention

Set how long data stays. It deletes itself when the time's up.

TL;DR

—Different retention periods per team or sensitivity level. Avoid one-size-fits-all policies that either violate compliance mandates or needlessly hoard terabytes of low-value data..
—Automatic deletion when the clock runs out. Remove the burden of manual database cleanup from your IT team; the system continuously sweeps and cryptographically shreds expired logs..
—Helps meet GDPR and internal data policies without extra work. Prove to regulators that your enterprise strictly enforces the principle of data minimization across all its generative AI applications..
—Designed for governed enterprise AI usage.

How It Works

Some teams need conversations kept for 90 days for compliance. Others want them gone in a week. You set the rule per team or per sensitivity level, and Remova handles the rest. When the retention window closes, the data is deleted. No manual cleanup, no forgotten conversations sitting around.

Data minimization is a core principle of modern privacy frameworks like GDPR, CCPA, and HIPAA. Storing every single AI conversation indefinitely creates a massive, searchable attack surface if your organization is ever breached. By implementing automated data retention policies, Remova ensures that your AI usage footprint shrinks automatically over time, drastically reducing your legal and security liabilities.

Our retention engine is highly granular. You can establish a global default (e.g., all conversations delete after 30 days), but create specific exceptions based on department or workflow. For instance, the marketing team's generative brainstorming might be purged weekly, while the legal team's contract analysis is securely retained for three years to comply with specific regulatory hold requirements.

Key Benefits

Different retention periods per team or sensitivity level. Avoid one-size-fits-all policies that either violate compliance mandates or needlessly hoard terabytes of low-value data.
Automatic deletion when the clock runs out. Remove the burden of manual database cleanup from your IT team; the system continuously sweeps and cryptographically shreds expired logs.
Helps meet GDPR and internal data policies without extra work. Prove to regulators that your enterprise strictly enforces the principle of data minimization across all its generative AI applications.
Control who can access stored conversations. Even while data is actively retained, <a href='/features/role-access-control'>Role-Based Access Control</a> ensures that only authorized administrators can retrieve historical prompt logs.
Clear view of what's been retained and what's been purged. The dashboard provides a verifiable timeline showing exactly when specific datasets were permanently destroyed.

Free Assessment

How Exposed Is Your Company?

Most companies already have employees using AI. The question is whether that's happening safely. Take 2 minutes to find out.

You get

A short report showing where your biggest AI risks are right now.

Use Cases

General teams: auto-delete after 30 days. Maintain enough history for users to refer back to their recent work without creating long-term security liabilities.

Legal and compliance: keep interactions longer for audit purposes. Ensure that critical analyses and compliance-related queries are preserved precisely as long as the law requires.

Meeting data minimization requirements without manual effort. Confidently check the compliance box during vendor risk assessments by demonstrating automated data lifecycle management.

Showing employees how their AI usage data is handled. Increase internal adoption by being transparent with staff that their AI brainstorming sessions won't be kept on file indefinitely.

Rollout Checklist

Define policy scope and ownership for data retention.
Pilot data retention with one department and measure adoption quality.
Set alert thresholds for governance events and escalation workflows.
Review outcomes monthly and tune controls based on operational feedback.

Metrics to Track

Control adoption rate by team
Policy or safety event volume trend
Exception turnaround time
Cost impact before vs after rollout

Free Resource

Get a Draft AI Policy in 5 Minutes

Answer 6 questions about your company. Get a real AI usage policy you can hand to legal this week.

You get

A ready-to-review AI policy document customized to your company.

Knowledge Hub

Data Retention FAQs

When a retention period expires, the data is permanently, cryptographically destroyed. It cannot be recovered by you, by us, or by a forensic audit.

Yes, administrators can freeze the retention clock for specific users or teams in the event of an ongoing investigation or eDiscovery request.

Yes, you can set separate retention and auto-delete policies for documents uploaded into the <a href='/glossary/rag'>Retrieval-Augmented Generation</a> (<a href='/glossary/rag'>RAG</a>) knowledge base.

By default, user-deleted chats are removed from their interface immediately, but are still retained in the global audit log until the official retention period expires.

AI FOR COMPANIES

Deploy data retention and related controls with Remova's enterprise AI governance platform.