Roblox
· Roblox Privacy and Cookie Policy
The clause establishes the operational framework governing data lifecycle management, defining both the retention period (tied to service necessity and legal obligations) and the mechanism for disposition (deletion or anonymization). This structure allocates responsibility for data handling across multiple institutional purposes rather than a single predetermined retention schedule.
Fiverr
· Fiverr Privacy Policy
The retention framework creates an operational structure where data persistence extends beyond active service delivery to encompass post-termination periods, establishing legitimate business purposes as a retention basis alongside legal compliance requirements.
Chegg
· Chegg Privacy Policy
This provision establishes the operational parameters for data lifecycle management within Chegg's systems. It clarifies that retention duration is tied to specific business and legal purposes rather than indefinite storage, and identifies the conditions under which deletion or anonymization procedures are triggered.
Miro
· Miro Privacy Policy
The provision defines the operational scope and timeline for data retention across active accounts, post-termination states, and legal compliance scenarios. It establishes that Miro may maintain copies of user data beyond account deactivation for specified institutional purposes rather than immediate deletion.
This provision establishes Meta's operational framework for data retention and deletion, specifying that retention determinations are individualized rather than standardized, and clarifying the scope of deletion obligations when account termination is requested. The distinction between user-posted content subject to deletion and third-party-shared information that remains in Meta's systems creates separate data management pathways.
This provision establishes SimpliSafe's data retention framework by tying retention periods to operational necessity and legal obligation, rather than specifying fixed retention windows. The clause authorizes extended retention post-relationship termination but does not quantify that extension period, creating ongoing data holding authority subject to unstated parameters.
The provision creates a variable retention model rather than fixed deletion timelines, meaning data persistence depends on operational necessity determinations and product-specific contexts. This framework allows Microsoft to maintain data across different service categories based on service delivery requirements and legal obligations rather than standardized timeframes.
The clause operationalizes data lifecycle management by anchoring retention to multiple justified purposes rather than a fixed timeline. This structure permits extended retention where legal or operational justification exists while establishing that retention is not indefinite.
Groq
· Groq Privacy Policy
This provision establishes the operational framework governing how long personal information remains in Groq's systems. The multi-factor retention standard creates flexibility in retention periods across different data categories based on assessed risk and regulatory context rather than a uniform deletion timeline.
Suno
· Suno Privacy Policy
Data retention policies establish the operational timeline for when personal information is deleted or anonymized from company systems, which affects the scope and duration of data processing activities.
OpenAI
· OpenAI Privacy Policy
The clause authorizes data retention across multiple operational categories (service provision, legal obligations, dispute resolution, contract enforcement) without specifying fixed retention timelines, establishing a principle-based rather than time-bound retention framework.
This clause establishes the operational parameters governing how long MetaMask maintains personal data, incorporating both functional necessity and risk-based assessment as retention determinants. The provision creates a standards-based approach rather than fixed retention timelines, conditioning retention duration on multiple institutional factors.
The clause defines the operational retention timeline for user data and establishes a deletion initiation process rather than immediate deletion upon account termination. The 30-day window creates a defined transition period between account closure and data removal completion.
This provision establishes the operational basis for data retention across Pinterest's service infrastructure. The clause authorizes retention tied to service delivery and business operations rather than imposing fixed retention periods, which determines the scope and duration of data processing activities.
This provision establishes the operational framework governing how long Character.AI maintains user data in its systems. It conditions retention duration on both the original collection purpose and user-initiated choices, creating variable retention periods rather than fixed deletion timelines.
Figma
· Figma Privacy Policy
The clause establishes retention criteria based on functional necessity rather than fixed time periods, meaning data persistence is tied to stated operational and legal purposes rather than automatic deletion schedules. This framework allocates responsibility for determining retention duration based on the purposes identified at collection.
This clause operationalizes Databricks' retention obligations by establishing the criteria and decision-making framework that governs how long personal data remains in the company's systems. It creates a standard tied to purpose fulfillment and regulatory compliance rather than indefinite retention or user-directed deletion timelines.
Rumble
· Rumble Privacy Policy
The clause creates a standard data retention framework tied to operational necessity while preserving Rumble's ability to maintain data longer when legally required, establishing the institutional basis for how long personal data remains in active use or storage systems.
The provision establishes operational criteria for data lifecycle management rather than fixed retention periods. This approach permits extended retention based on institutional assessment of necessity and risk factors, rather than automatic deletion at specified intervals.
RunPod
· RunPod Privacy Policy
This provision establishes RunPod's data retention framework by authorizing retention based on functional necessity rather than specifying fixed deletion timelines. The operational significance lies in the institution's discretion to maintain data across multiple retention scenarios determined by internal assessment criteria.
The provision operationalizes Revolut's data retention obligations under anti-money laundering and financial services regulations, which typically mandate multi-year record preservation. The extended retention period reflects compliance requirements rather than discretionary data practices, establishing a regulatory framework for how long customer records are maintained.
Ledger
· Ledger Privacy Policy
This provision establishes the operational framework for data retention duration, permitting extended retention periods when justified by legal compliance requirements or contractual enforcement needs, rather than restricting retention to a fixed timeframe.
This provision establishes the operational framework governing how long Walmart maintains personal data in its systems. The clause ties retention duration to specific business and legal functions rather than establishing a fixed timeline, which means retention periods may vary across different data categories.
This provision establishes the operational framework governing Samsung's data retention lifecycle and specifies the conditions under which personal information will be removed or anonymized from active systems. The clause ties retention periods to functional necessity and legal requirements rather than indefinite storage.
Webull
· Webull Privacy Policy
This clause defines the operational boundaries for how long Webull stores user data, establishing that retention periods are governed by necessity of purpose and legal compliance rather than indefinite storage. The provision creates a structured framework requiring ongoing assessment of retention appropriateness based on specified criteria.
The clause creates an operational standard for data lifecycle management by tying retention duration to specific, enumerated purposes rather than indefinite retention. It establishes that data destruction or de-identification is the default outcome when retention purposes are satisfied, subject to legal hold or litigation defense requirements.
Without clearly specified retention periods, it is difficult for users to know how long their job search history, resume data, and profile information will remain in ZipRecruiter's systems and accessible to employers.
This provision establishes the data retention framework governing how long AWS maintains personal information in its systems. The retention period is tied to service delivery necessity, stated purposes, legal mandates, and specific communications to users rather than a fixed timeframe.
Lime
· Lime Privacy Policy
The clause defines the operational scope of Lime's data retention authority by tying retention duration to functional business purposes rather than establishing a fixed time period, which establishes the framework under which personal information remains in the entity's systems.
This provision establishes the operational framework governing the company's data lifecycle management, defining both the retention triggers (service provision and stated purposes) and the mandatory procedures for data disposition (deletion, anonymization, or isolation). The clause creates a procedural obligation to eventually eliminate retained data rather than maintain indefinite archives.