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Workflow & Automation · getlilac.com

Lilac

Graded against 811 verified platforms, from its own policy text. Automated assessment against a published rubric — not legal advice.

Overall riskUNRATEDReviewed 2026-08-28
Benchmark

No lens is bandable yet — banding requires fully verified documents with on-criteria findings. The gap is shown honestly, never estimated.

0 verified findings0 policy surfaces1/1 core docs verified

Partially verified: Privacy Policy assessed. Everything below comes only from what was read in full.

Risk triage

No verified risks yet

AIRIN has not published verified findings for this record yet. The page shows the gap instead of guessing.

0
high
0
medium
0
low
1/1
docs
Trains on your data?
Not yet assessed
no verified finding covers this surface yet
Who owns outputs?
Not yet assessed
no verified finding covers this surface yet
Commercial use?
Not yet assessed
no verified finding covers this surface yet
Every rating:verbatim-citedsnapshot-datedchange-loggedHow we keep ratings honest →

How to read this page: Overall risk rates what Lilac's own policy terms mean for your prompts, outputs, and data. The benchmark bands below grade those same verified terms relative to peers — a platform in a risky-by-default category can rate HIGH risk and still grade STRONG against its peer set. Both trace to the cited findings.

Partially verifiedWorkflow & Automation

Partially verified — Privacy Policy — Verified (read in full, 0 findings). Findings below are from fully-read, verified documents only; remaining core documents are pending capture.

Why partial?

Terms not yet captured

AIRIN has not yet captured a gate-verified Terms of Service document for this platform.

Document status
  • Privacy Policy
    Verified - read in full - 0 citationsstaticLast captured 2026-08-28
No verified evidence citations are published for this platform yet - its complete governing documents are not yet publicly capturable. We never publish citations from a document we have not read in full.

Clause intelligence

Canonical clauses and stance patterns extracted from the same gate-verified citations shown on this page.

36
clauses
20
patterns
20
stances
privacy sharing · 10training use · 5data retention · 2ip license · 1ip ownership · 1legal burden · 1
data retentionLOWPrivacy Policy › “Data retention”

The clause provides a deletion or time-bounded retention path.

We retain your information according to this schedule: User account information: Duration of service plus 30 days after account closure. Transaction logs: 7 years, as required for financial compliance. API logs: 90 days. Deleted user data: 30 days soft-delete period, after which data is permanently removed. We may retain certain information longer as required by law or for legitimate business purposes.
Open source citation
data retentionLOWPrivacy Policy › “Data retention”

The clause provides a deletion or time-bounded retention path.

We retain your information according to this schedule: User account information: Duration of service plus 30 days after account closure. Transaction logs: 7 years, as required for financial compliance. API logs: 90 days. Deleted user data: 30 days soft-delete period, after which data is permanently removed. We may retain certain information longer as required by law or for legitimate business purposes.
Open source citation
ip licenseHIGH§ 9 (Intellectual property, feedback & confidentiality)

The clause includes sublicensable, transferable, or assignable rights.

Lilac retains all rights in the Services. You receive a limited, non-exclusive, non-transferable right to use the Services per these Terms. If you provide feedback, we may use it without restriction or obligation. Each party will protect the other's non-public information with reasonable care and use it only as needed to perform under these Terms. This does not limit Lilac's data commitments in the "Your...
Open source citation
ip ownershipLOW§ 4 (Your content & data handling)

The clause affirms user ownership or retention of rights.

Ownership. "Customer Content" means the prompts, inputs, files, datasets, container images, and code you submit, batch inputs and results, fine-tuned model artifacts created for you, and model outputs processed through the Services. As between the parties, you own your Customer Content. You grant Lilac the limited right to host and process Customer Content solely to provide, secure, and support the Services. Lilac...
Open source citation
legal burdenMEDIUM§ 12 (Indemnification)

The clause requires defense, indemnity, or hold-harmless obligations.

You will defend and indemnify Lilac against third-party claims arising from your Customer Content; the workloads, code, images, datasets, and model weights you submit; your products; or your breach of the Acceptable Use section.
Open source citation

Tier matrix

Plan-level conditions detected from citation-backed clauses. Empty tiers mean AIRIN has not captured decisive tier language yet.

TierSurfaceVerdictRiskCitations
All applicable tiersdata retentionworsensHIGH3
All applicable tiersindemnity liabilityconditionalMEDIUM1
All applicable tiersprivacy data useconditionalMEDIUM2
All applicable tierstraining useworsensHIGH1
Apitraining useimprovesLOW9
Governmentprivacy data useconditionalMEDIUM2
Pro / Paiddata retentionimprovesLOW2

Policy evolution

Open full timeline

Before/after stance changes across captured policy versions. When no material delta exists yet, AIRIN shows the latest citation-backed stance events instead.

improvedhigh materialityJul 20Jul 27, 2026

model training improved from high/training permitted to low/no training claim.

Before · high
Lilac provides a platform for running AI workloads on compute capacity operated by Lilac and by third-party infrastructure and GPU capacity providers ("Capacity Providers"). The Services include, and may in the future include, a real-time, OpenAI-compatible inference API, asynchronous and batch processing, customer-defined container and training jobs, model fine-tuning, and associated storage and orchestration. Certain Services are subject to additional terms, pricing, or data-handling descriptions presented in the Services or in our documentation ("Service-Specific Terms"). Service-Specific Terms are part of these Terms and control if they conflict with these Terms for that Service. We may change the models, endpoints, features, and Capacity Providers at any time.
Before citation
After · low
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.
After citation
worsenedhigh materialityJul 20Jul 20, 2026

model training worsened from low/no training claim to high/training permitted.

Before · low
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.
Before citation
After · high
Lilac provides a platform for running AI workloads on compute capacity operated by Lilac and by third-party infrastructure and GPU capacity providers ("Capacity Providers"). The Services include, and may in the future include, a real-time, OpenAI-compatible inference API, asynchronous and batch processing, customer-defined container and training jobs, model fine-tuning, and associated storage and orchestration. Certain Services are subject to additional terms, pricing, or data-handling descriptions presented in the Services or in our documentation ("Service-Specific Terms"). Service-Specific Terms are part of these Terms and control if they conflict with these Terms for that Service. We may change the models, endpoints, features, and Capacity Providers at any time.
After citation
Jul 27, 2026retentionLOW

Latest stance: deletion or time bound on data retention

We retain your information according to this schedule: User account information: Duration of service plus 30 days after account closure. Transaction logs: 7 years, as required for financial compliance. API logs: 90 days. Deleted user data: 30 days soft-delete period, after which data is permanently removed. We may retain certain information longer as required by law or for legitimate business purposes.
Open timeline citation
Jul 27, 2026data sharingHIGH

Latest stance: sale or sell on training use

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.
Open timeline citation
Jul 27, 2026data sharingMEDIUM

Latest stance: third party or vendor sharing on training use

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.
Open timeline citation
Jul 27, 2026data sharingMEDIUM

Latest stance: third party or vendor sharing on privacy data use

Service providers: See our subprocessor list below for the complete list of third parties that process data on our behalf. Identity providers: If you link your account to Google, we share data as needed to maintain that connection. Organization members: Your profile may be visible to other members of your organization. Legal requirements: Law enforcement or government authorities when required by law. Business transfers: In connection with a merger, acquisition, or sale of assets. Professional advisors: Lawyers, auditors, and insurers as needed.
Open timeline citation

Capture recency

  • Privacy Policy:Last captured 2026-08-28· verified 2026-07-27

Dates state when our pipeline captured and verified each document — not when the vendor last changed it. Documents are re-scanned on a recurring cadence; a document verified once says so until a re-scan confirms it again.

36 findings first captured First scan: July 2026.

Claim this profile

Compare and stack are saved in your browser. Open compare · View your stack. A correction triggers an automated re-read of Lilac's policies — no human edits the data.

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Free shows today's risk. A Stack Audit gives you a citable, verbatim-sourced PDF across your whole AI stack — and flags the moment a vendor's terms change.

Know where the missing document lives?

We haven't yet verified Lilac's Terms of Service. Point us at the official page and our pipeline will attempt to capture and read it in full. Submissions are candidates only — nothing is published until it passes the same verification gates as every other document on this site.

Every finding above is a verbatim quote from Lilac's own published policy, captured to an immutable snapshot and read in full through a two-gate verification pipeline. Confidence labels and any analysis are AI-generated and informational only — not legal advice.

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