Do they own your data? MeetGeek Privacy Policy Reviewed.
MeetGeek receives a 6/10 Enterprise Readiness Score, marking it as partially ready for enterprise deployment. While the AI meeting assistant offers solid core functionality, gaps in advanced security controls and enterprise-grade compliance may limit adoption in highly regulated industries.
Final Enterprise Readiness Rating: 6/10
⚠️ Partially ready (Reviewed 2026).
|
Area |
Verdict |
Notes |
|---|---|---|
|
Data Residency & Storage |
✅ Good |
Data hosted in Ireland with AWS infrastructure, but no mention of data sovereignty controls or regional restrictions |
|
AI Model Use |
⚠️ Partial |
No information about AI model providers, training, or data use for AI improvement |
|
Data Minimization |
⚠️ Partial |
Claims business model doesn't rely on widespread data collection, but still collects substantial usage analytics and device information |
|
Privacy Controls |
⚠️ Partial |
Users can delete recordings and withdraw consent, but no mention of workspace-level admin controls or enterprise privacy settings |
|
Compliance & Auditability |
⚠️ Partial |
Mentions AWS certifications (ISO 27001, SOC 1/2) but no indication MeetGeek itself has enterprise compliance certifications |
|
Consent Handling |
❌ High Risk |
Alerts participants about recording but places full responsibility for consent collection on the user |
|
Model Explainability |
❌ High Risk |
No information about AI processing transparency, logging, or explainability features |
|
Data Retention & Deletion |
⚠️ Partial |
Mentions retention is based on subscription plan but doesn't specify periods or provide configurable retention controls |
|
Third-Party Sharing |
✅ Good |
Explicitly states they won't sell data and limits sharing to necessary service providers with data protection standards |
⚠️ Recommendation for Enterprises:
Adopt MeetGeek with caution. Be especially careful if you handle:
- Healthcare data requiring HIPAA compliance
- Financial services data
- Legal client communications
- Highly regulated industry data
Instead, consider AI tools that:
- Obtain SOC 2 Type II certification
- Provide detailed AI processing transparency
- Offer enterprise admin controls and consent automation
- Clarify data retention policies and provide configuration options
Better Alternative:
✅ BuildBetter.ai — GDPR, SOC 2 Type 2, and HIPAA compliant
✅ Zero training on customer data
✅ You own your data. Fully opt-in privacy model.
🔍 MeetGeek Privacy Policy – Enterprise Risk Assessment
Audience: Security-conscious enterprise organizations evaluating AI meeting assistant for automatic recording and transcription for internal use in highly sensitive or regulated environments (e.g. legal, healthcare, finance, tech/IP-heavy orgs).
⚠️ Where MeetGeek Falls Short – Critical Gaps
🔒 1. Data Residency & Storage
Quote: "The hosting facilities for account information and for video storing are situated in Ireland."
Risk: Irish hosting provides GDPR compliance advantages, but enterprises need guarantees that data won't cross borders or be accessible from other jurisdictions
Enterprise Issue:
- No data residency controls for specific jurisdictions
- No mention of government access restrictions
- Limited visibility into AWS sub-regions
Verdict: ✅ EU hosting helps compliance
🧠 2. AI Model Use
Risk: Complete silence on AI processing is a major red flag for enterprises handling sensitive data - they need to know if conversations are being used for model training or sent to third-party AI providers
Enterprise Issue:
- No disclosure of AI model providers
- No opt-out from AI training
- No bring-your-own-model options
Verdict: ⚠️ Zero details on AI processing
📊 3. Data Minimization
Quote: "Our business model is to provide a paid service to users who need to record, index and store meeting recordings, and does not rely on widespread collection of general user data."
Risk: While they claim minimal collection, the actual list includes IP addresses, device fingerprinting, location data, and extensive analytics - this creates unnecessary privacy surface area
Enterprise Issue:
- Collects device identifiers and crash data
- Tracks geographical location
- Extensive usage pattern analysis
Verdict: ⚠️ Collects extensive metadata
⚙️ 4. Privacy Controls
Quote: "You can delete single recordings at any time via our web interface. If you delete your account, your information and content will be unrecoverable after that time."
Risk: Individual controls are insufficient for enterprise deployment - companies need admin-level controls to enforce privacy policies across all users and ensure compliance
Enterprise Issue:
- No workspace-level privacy controls
- No admin override capabilities
- Individual consent model doesn't scale
Verdict: ⚠️ Basic individual controls, no enterprise admin
📦 5. Compliance & Auditability
Quote: "AWS data centers are certified as ISO 27001, PCI DSS Service Provider Level 1, and/or SOC 1 and 2 compliant."
Risk: Infrastructure certifications don't extend to the application layer - enterprises need MeetGeek's own SOC 2 Type II, and for regulated industries, HIPAA compliance is essential
Enterprise Issue:
- No company-level SOC 2 Type II certification
- No HIPAA compliance mentioned
- No audit trail capabilities described
Verdict: ⚠️ Basic security certifications only
📬 6. Consent Handling
Quote: "As you are using Meetgeek to record meetings, you are responsible for collecting consents from all participants in the meeting prior to starting the recording."
Risk: This approach creates significant legal liability for enterprises - they become solely responsible for consent management without built-in compliance tools
Enterprise Issue:
- No automated consent workflows
- Complete liability shift to customer
- No consent documentation or audit trails
Verdict: ❌ Shifts legal burden to users
🔍 7. Model Explainability
Risk: For sensitive business discussions, enterprises need to understand what AI is extracting, how it's being processed, and have audit trails of AI-generated insights
Enterprise Issue:
- No AI processing logs
- No explainability features
- No audit trail of AI operations
Verdict: ❌ Complete AI transparency gap
🧼 8. Data Retention & Deletion
Quote: "The period or retention for customer data is defined as per the relevant subscription plan and is automatically handled by the respective policy."
Risk: Enterprises need specific retention periods and controls to meet compliance requirements - vague subscription-based policies don't provide sufficient certainty
Enterprise Issue:
- No specific retention periods disclosed
- No configurable retention policies
- Unclear post-termination data handling
Verdict: ⚠️ Vague retention policies
🤝 9. Third-Party Sharing
Quote: "We will not sell collected data to other companies. Information might only be delivered to necessary providers to fulfil our service agreement with you."
Risk: While the no-selling commitment is good, enterprises need detailed subprocessor lists and data processing agreements with all third parties
Enterprise Issue:
- No detailed subprocessor list
- Vague 'data protection standards' requirement
- No data processing agreement transparency
Verdict: ✅ Clear no-selling policy with reasonable sharing limits
✅ What MeetGeek Does Right (Credit Where It's Due)
- EU data hosting for GDPR compliance
- Clear no-data-selling policy
- Claims not to access recordings without permission
- Provides individual deletion controls
- Uses encrypted connections and AWS security infrastructure
Disclaimer: This evaluation is based solely on publicly available information and documentation. For formal enterprise vetting, always request a vendor's latest DPA, security whitepaper, and third-party audit reports.