Compare how OpenAI and Anthropic handle training, data retention, liability, arbitration, and governance changes over time.
Governance changes can affect enterprise usage rights, data retention policies, training controls, and dispute handling. This comparison is based on continuously monitored governance documents.
Arbitration: OpenAI (Required) vs Anthropic (Not stated).
Data Retention: OpenAI (Deleted after account closure) vs Anthropic (Deleted; 30-day window).
Class Action: OpenAI (Waived) vs Anthropic (Not stated).
OpenAI has 17 monitored documents vs Anthropic's 8.
Both vendors train on user content. Review specific opt-out mechanisms and data retention terms before uploading sensitive data.
OpenAI contains a higher concentration of restrictive governance provisions, which may require more thorough legal review for enterprise adoption.
Governance stability reflects document change frequency over the last 30 days. Methodology →
Governance provisions grouped by type. Higher counts indicate more detailed governance language in that area.
The retention and use of flagged content by sub-processors is double-limited: b…
Customer data is sent to Snowflake for warehousing unless the customer has Zero…
The act of using or enabling the App triggers an automatic data transmission au…
This prohibition protects individuals from unauthorized likeness reproduction a…
The cap ties the maximum recoverable amount to historical spend, meaning low-sp…
Facial geometry templates are among the most sensitive categories of personal d…
A requirement to quantify risk across all deployed models — rather than selecte…
The requirement directly restricts who can access model weights and under what …
The clause identifies CBRN misuse as the primary threat model driving ASL-3 dep…
The requirement creates a formal, documented obligation for Anthropic to affirm…
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