Sirion
AI-native CLM platform with purpose-built AI agents for contract extraction, issue detection, redlining, and obligation monitoring.
Sirion is an AI-native contract lifecycle management (CLM) platform designed for legal teams, procurement professionals, and business stakeholders who need to accelerate contract review and reduce compliance risk. The platform deploys purpose-built AI agents that automatically extract key contract data, identify potential issues and deviations from standard terms, generate redline suggestions, and track contractual obligations throughout their lifecycle. Rather than treating AI as a secondary feature, Sirion embeds intelligent agents into core workflows—enabling teams to process contracts at scale while maintaining visibility into critical dates, payment terms, renewal clauses, and regulatory requirements. The system is particularly valuable for organizations managing high contract volumes or complex multi-party agreements where manual review becomes a bottleneck. By automating extraction and issue detection, Sirion reduces the time legal and procurement teams spend on routine analysis, freeing them to focus on negotiation strategy and risk assessment.
The provider uses Customer Data to train machine learning models to improve service quality and performance. However, th
No training opt-out mechanism was identified in the legal documents.
Moderate risk. Suitable for internal data but avoid confidential information.
The provider uses Customer Data to train machine learning models to improve service quality and performance. However, they commit to not publicly identify the customer or disclose data to third parties, and aggregation/anonymization is mentioned. This represents moderate risk as training on user content occurs but with some safeguards.
“We may direct our automated systems to review and process Customer Data to generally inform machine learning capabilities in the Subscription Services to improve the quality and performance of the Subscription Services”
Customer grants a broad, royalty-free, worldwide, non-exclusive license for the provider to use Customer Data 'as necessary' for providing, maintaining, developing, supporting and improving services. The scope is moderately broad but limited to service-related purposes rather than unrestricted commercial use.
“You grant us a royalty-free, fully paid, non-exclusive, non-transferrable worldwide, right to use Customer Data as necessary for us to provide, maintain, develop, support and improve the Subscription Services”
The provider can subcontract to affiliates and third parties to perform services, though they remain responsible. Customer Data itself is not disclosed to third parties per the terms, but third-party service providers may access it for AI Module functionality. This creates moderate risk.
“we may subcontract the provision of Services in whole or in part to our Affiliates or to a third party to perform certain tasks and functions under the Agreement”
Customer data is automatically deleted 30 days after termination, and customers can request retrieval within 30 days at no cost. However, the provider may retain copies for regulatory/legal purposes indefinitely. This represents moderate risk due to the regulatory exception and the 30-day window.
“Customer Data in our systems will in any event be deleted automatically after thirty (30) days of expiration or termination of the Agreement”
Customer retains all rights, title, and interest in Customer Data and any Input/Output generated. The provider retains ownership only of the AI Module itself, algorithms, and models. This is favorable and represents low risk for IP ownership.
“You retain all rights, title, and interest in Input and Output, and we retain all ownership in the AI Module, including but not limited to all coding, algorithms, models”
The terms reference a Data Processing Addendum and compliance with Data Protection Laws, but no specific certifications (SOC2, GDPR, HIPAA, ISO) are mentioned in the provided text. The absence of explicit compliance certifications represents higher risk for enterprise shadow AI use.
“Each party shall comply with all applicable Data Protection Laws and shall provide reasonable assistance to facilitate the other party's compliance as necessary”
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