NEWS
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Read AI
Read AI
 
Risk Overview
Moderate Risk
4.1
/10
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Meeting Transcription
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Meeting Summaries
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Top Risks

Extremely broad data access: reads Gmail, Google Calendar, Google Docs, Google Drive, Google Chat for Digital Twin feature; mandatory arbitration + class action waiver; Chapman University banned the tool citing institutional security/privacy risks (Aug 2025); non-consenting meeting participants recorded and analyzed; meeting engagement analytics (attention scores) raise additional consent issues; extensive integration surface across all productivity tools.

Mitigations

Opt-out by default for training; SOC 2 Type II + HIPAA certified; announces meeting recording at start; participants can opt out via chat; EU-US DPF participant; no data selling; DPA available; transparency center at trust.read.ai.

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Highest Risk Categories

The highest-scoring risk categories identified in this assessment.

Legal Terms

Mandatory binding arbitration with class action waiver. Individual arbitration only -- arbitration will be solely on an individual basis and not as a class arbitration, class action, or any other kind of representative proceeding. Opt-out available per ToS Section 16. US company under California law. Standard liability limitations apply.
6
/10

Data Retention

Specific post-deletion retention periods not prominently documented in materials reviewed. The Digital Twin feature (which builds a personal AI model from emails, calendar, messages, docs) raises significant long-term data retention concerns. Chapman University banned the tool in August 2025 citing institutional data risks. Retention policy details require direct policy review for full assessment.
5
/10

3rd-Party Sharing

Does not sell user data. Shares with service providers necessary for business functions. Integrates broadly: Google Meet, Microsoft Teams, Zoom, HubSpot, Salesforce, Atlassian, Notion, Asana, Slack. Gmail and Google Drive access requested for Digital Twin feature (broader than competitors). Privacy-first positioning but wide integration surface.
4
/10

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Updated July 2026 • AI-assisted research • Reviewed by Verax • Report an issue

Reference Documentation

Official documentation and policies referenced as part of this assessment.