Leah
Agentic AI system for commercial intelligence with AI-powered contract discovery, redlining, compliance helpdesk, and workflow automation.
Leah is an agentic AI system designed for legal and procurement teams to automate the full lifecycle of contract management and commercial intelligence. The platform discovers contracts across an organization's repositories, analyzes their terms and obligations, and surfaces key data points without manual review. Leah automates routine compliance workflows—such as renewal tracking, obligation monitoring, and risk flagging—while its AI-powered redlining capability streamlines contract negotiation by generating suggested edits and identifying deviations from standard terms. The system also functions as a compliance helpdesk, answering questions about contract obligations and exposures in natural language. Built as an agentic system, Leah can execute multi-step workflows autonomously, reducing the need for manual handoffs between legal, procurement, and operations teams. Organizations use it to accelerate contract review cycles, reduce compliance risk, and free legal resources from repetitive administrative tasks.
The provided text does not explicitly address whether user content is used to train AI models. While Leah is an AI platf
No training opt-out mechanism was identified in the legal documents.
Moderate risk. Suitable for internal data but avoid confidential information.
The provided text does not explicitly address whether user content is used to train AI models. While Leah is an AI platform, the Master Terms and Privacy Statement excerpts provided do not contain clear language prohibiting or permitting AI training on user data. This ambiguity in an AI product context represents moderate risk.
“No explicit statement found regarding AI training on user content in provided excerpts.”
The text references using Bonterms Cloud Terms as a neutral starting point but does not provide the actual license terms in the excerpts provided. Without visibility into the specific license scope, the risk cannot be fully assessed, creating moderate uncertainty.
“The Cloud Terms are designed to be a neutral starting point for an agreement that meets the needs of both Leah and enterprise customers”
The Privacy Statement states data is only shared with processors and third parties 'for which consent must be obtained,' and mentions a data processing agreement with Google. However, the scope of third-party sharing in the actual service terms is not fully detailed in provided excerpts.
“We only share this data with processors and with other third parties for which consent must be obtained.”
The Privacy Statement indicates data is retained 'until the service is terminated' for contact, newsletter, and statistics purposes. While deletion rights are mentioned, the lack of specificity about post-termination retention and backup deletion timelines presents moderate risk.
“Retention period We retain this data until the service is terminated.”
The provided text does not address intellectual property ownership of user-generated content or AI outputs. For an AI platform like Leah, the absence of clear IP ownership language regarding user inputs and generated outputs represents significant risk.
“No IP ownership language found in provided excerpts.”
The text mentions compliance with privacy legislation and references a Bonterms DPA designed for data protection, but does not explicitly list SOC2, GDPR, HIPAA, or ISO certifications. The Privacy Statement applies only to US citizens and residents, suggesting incomplete global compliance coverage.
“In our processing we comply with the requirements of privacy legislation.”
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