Zero retention is a data handling policy under which an AI tool vendor does not store or retain any client-submitted content after the active processing session ends, ensuring that confidential information is not persisted on the vendor's servers.
Last reviewed: 2026/05/19
Attorney-client privilege is the legal doctrine that protects confidential communications between a lawyer and client made for the purpose of seeking or providing legal advice, shielding those communications from compelled disclosure in legal proceedings.
SecurityIn the legal AI context, confidentiality refers to the obligation of lawyers and legal AI vendors to protect client information from unauthorized disclosure, and to the technical and contractual measures that implement that protection when client data is processed by AI systems.
SecurityEncryption at rest refers to the protection of stored data through cryptographic encoding, so that files, databases, and backups on storage media are unreadable without the appropriate decryption key — a baseline security control required for legal AI tools handling confidential client information.
SecurityOn-premise deployment of legal AI means running the AI software and models on the law firm's or organization's own servers and infrastructure, rather than using cloud-based vendor services, keeping all data processing within the firm's controlled environment.
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Last reviewed: 2026/05/19. Definitions are written by the LawyerAI Editorial team. Commercial relationships are disclosed and do not determine editorial scores or conclusions. See our Sponsorship & Affiliate Disclosure.
Zero retention is a data handling policy under which an AI tool vendor does not store or retain any client-submitted content after the active processing session ends, ensuring that confidential information is not persisted on the vendor's servers.
Zero retention is among the strongest confidentiality commitments an AI vendor can offer. Under a zero-retention policy, documents and queries submitted to the AI tool are processed in memory during the session and then deleted — never persisted to storage. This eliminates several categories of risk: the vendor's servers cannot be breached to reveal client content; the vendor cannot access historical matter data; and there is no stored client content that could be subject to government subpoena or disclosure in the vendor's own litigation.
For lawyers handling highly sensitive matters — government investigations, M&A transactions with significant market sensitivity, or matters involving client information that cannot be disclosed to any third party — zero retention provides meaningful additional protection compared to tools that store session data even temporarily.
The trade-off is functional: zero-retention tools cannot provide session history, document organization, or matter-level continuity across sessions. Each interaction starts without memory of prior sessions. For some workflows, this limitation is acceptable; for others, the continuity features of a tool that retains session context have significant value.
Lawyers should distinguish between "we don't train on your data" (which is a training-use commitment, not a retention commitment) and "we don't retain your data" (a zero-retention commitment). Both matter, but they address different risks.
Zero retention is offered by some legal AI vendors as a feature for enterprise or premium tier clients, particularly those in highly regulated industries or with stringent bar ethics compliance requirements. The specific implementation — how quickly data is deleted, whether any logs are retained for security or compliance purposes, whether backups are excluded — should be confirmed in the vendor agreement rather than relied on from marketing descriptions.
Harvey AI and other enterprise-focused tools offer zero-retention or minimal-retention options as part of their enterprise security offerings. Paxton AI has positioned zero-retention data handling as a key feature for law firms concerned about bar ethics compliance when using AI tools.
Westlaw Precision AI and Lexis+ AI have contractual commitments about not training on submitted content, though their full data retention practices for session logs should be confirmed in the enterprise agreement.
For tools that do retain session data, review the retention period, what data is retained (full documents vs. logs), access controls on retained data, and deletion procedures on contract termination. These factors collectively determine the actual confidentiality risk profile of using the tool.