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Retention differs by Service: Real-time inference API: request and response bodies are processed transiently in memory; Lilac does not store prompts or completions at rest after the response is returned, as further described in the Privacy Policy . Batch, container, training & storage Services: by their nature these Services store the Customer Content you submit and the results they produce until you retrieve or delete them. Unless Service-Specific Terms state otherwise, stored job inputs and results are retained for 30 days after job completion and then deleted, and you may delete them earlier via the Services. Operational metadata (for example, token counts, job and workload identifiers, resource usage, latency, and error codes) is retained for billing, reliability, security, and abuse prevention. Capacity Providers. Workloads may execute on Capacity Provider infrastructure. Capacity Providers are contractually prohibited from retaining, inspecting, or using Customer Content, and process it only transiently to execute your workloads.","source_url":"https://getlilac.com/terms","deep_link":"https://getlilac.com/terms#:~:text=%20Ownership.%20%22Customer%20Content%22,to%20execute%20your%20workloads.","structural_citation":"§ 4 (Your content & data handling)","citation_basis":"section_number","char_start":2655,"char_end":4244}},{"pattern_key":"training_no_use","pattern_family":"training_use","risk_rating":"low","confidence":"medium","stance_key":"model_training","stance_value":"no_training_claim","evidence":"We understand that the inputs you provide to our API and the outputs it generates may contain your Personal Information. We will not store, sell, or train using this data. Your API inputs and outputs are not stored at rest after the response is returned — they exist only in memory during the inference process and are deleted immediately afterward. 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We only log metadata — request ID, token counts, and sampling parameters — for billing and debugging purposes.","source_url":"https://getlilac.com/privacy","deep_link":"https://getlilac.com/privacy#:~:text=%20We%20understand%20that,billing%20and%20debugging%20purposes.","structural_citation":"Privacy Policy › “Data privacy during inference”","citation_basis":"heading_path","char_start":1467,"char_end":2299}},{"pattern_key":"training_no_use","pattern_family":"training_use","risk_rating":"low","confidence":"medium","stance_key":"model_training","stance_value":"no_training_claim","evidence":"We understand that the inputs you provide to our API and the outputs it generates may contain your Personal Information. We will not store, sell, or train using this data. Your API inputs and outputs are not stored at rest after the response is returned — they exist only in memory during the inference process and are deleted immediately afterward. We only retain metadata related to token counts and usage for billi...","reason":"The clause says submitted content is not used for model training or model/service improvement.","matcher_version":"clause-intelligence-2026-06-17.1","citation":{"surface":"training_use","quote":"We understand that the inputs you provide to our API and the outputs it generates may contain your Personal Information. We will not store, sell, or train using this data. Your API inputs and outputs are not stored at rest after the response is returned — they exist only in memory during the inference process and are deleted immediately afterward. We only retain metadata related to token counts and usage for billing and debugging purposes. No training: We do not use your API inputs or outputs for training models — ever. No sharing: We do not share the data you submit to our APIs with any third party. Your prompts and completions remain private to your account. Logs: We do not log your prompts or completions. We only log metadata — request ID, token counts, and sampling parameters — for billing and debugging purposes.","source_url":"https://getlilac.com/privacy","deep_link":"https://getlilac.com/privacy#:~:text=%20We%20understand%20that,billing%20and%20debugging%20purposes.","structural_citation":"Privacy Policy › “Data privacy during inference”","citation_basis":"heading_path","char_start":1470,"char_end":2302}}]},"tier_conditions":[],"disclaimer":"Informational only, not legal advice. Every finding is a verbatim quote from a fully-read, gate-verified document; verify via snapshot_sha256 + wayback_url. Partially-verified platforms show findings only from their verified document(s).","benchmark":{"disclaimer":"Automated assessment against a published rubric — not legal advice.","bands":[]},"@jsonld":{"@context":"https://schema.org","@type":"Dataset","name":"Lilac — AI policy risk findings","description":"Verified, cited policy findings for Lilac across 13 risk surfaces.","url":"https://airinetwork.com/platform/lilac","creator":{"@type":"Organization","name":"AIRIN","url":"https://airinetwork.com"},"isAccessibleForFree":true,"license":"https://airinetwork.com/terms","additionalProperty":[{"@type":"PropertyValue","name":"verification","value":"partially_verified"},{"@type":"PropertyValue","name":"tier_condition_count","value":0}],"hasPart":[],"variableMeasured":[]}}