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The agreement prohibits LangChain from using Customer Data, which includes all inputs and outputs submitted or generated through the LangSmith Platform, to train or improve its AI products or large language models.
This analysis describes what LangChain's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
This provision establishes a contractual commitment that directly addresses a material concern in enterprise AI platform procurement: whether platform-processed data may be used to improve vendor AI systems. Breach of this provision would constitute a material breach under Section 9.4, triggering Customer's right to terminate and potentially seek damages within the liability cap.
The updated terms introduce a new deployment architecture option (BYOC) alongside existing Cloud and Hybrid options, giving customers more control over infrastructure placement. LangChain's explicit commitment to not use customer data for large language model training now has clear written language in the Terms, whereas the prior version only referenced 'products' generically. However, the expanded non-warranty clause now states the platform is not warranted to be 'accurate' or 'complete,' which broadens the disclaimers of liability. Customers should review which deployment option aligns with their infrastructure and compliance requirements.
View change record →Under this clause, Customer Data processed through the LangSmith Platform is contractually protected from use in LangChain AI model training or product improvement. This provision applies to all deployment types (Cloud, BYOC, Hybrid, and Self-Hosted) as Customer Data is defined broadly to include all inputs and outputs.
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"LangChain agrees that it will not use Customer Data to train on, develop, or otherwise improve its products, including any large language models.Excerpt from LangChain's Terms of Service
(1) REGULATORY LANDSCAPE: This provision interacts with GDPR Article 5 purpose limitation principles for EU and EEA customers, reinforcing that Personal Data processed through the platform is not repurposed for model training. The FTC Act engages where data use representations in agreements may be evaluated for accuracy and consistency with operational practice. (2) GOVERNANCE EXPOSURE: Medium. The provision creates a contractual commitment but compliance depends on LangChain's internal data governance controls, which are not auditable by Customer under the terms of this Agreement. Organizations in regulated industries may require additional assurance beyond contractual prohibition. (3) JURISDICTION FLAGS: EU and EEA customers have heightened exposure, as GDPR enforcement authorities may evaluate whether contractual prohibitions are operationally implemented rather than merely stated. California-based customers may assess alignment with CCPA use limitation provisions. (4) CONTRACT AND VENDOR IMPLICATIONS: Procurement teams should note that while the prohibition is explicit, the Agreement does not grant Customer audit rights to verify compliance. Organizations requiring third-party audit or certification of AI data use restrictions should address this gap in Order Form negotiations. (5) COMPLIANCE CONSIDERATIONS: Compliance teams should document this contractual provision in AI governance frameworks and vendor risk registers. Where internal AI governance policies require contractual prohibitions on training data use, this provision satisfies that requirement as written, subject to verification mechanisms being established separately.
This provision establishes a contractual commitment that directly addresses a material concern in enterprise AI platform procurement: whether platform-processed data may be used to improve vendor AI systems. Breach of this provision would constitute a material breach under Section 9.4, triggering Customer's right to terminate and potentially seek damages within the liability cap.
Under this clause, Customer Data processed through the LangSmith Platform is contractually protected from use in LangChain AI model training or product improvement. This provision applies to all deployment types (Cloud, BYOC, Hybrid, and Self-Hosted) as Customer Data is defined broadly to include all inputs and outputs.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by LangChain.