By Legal Futures’ Associate Seal Software
Seal Software announced that it has successfully completed System and Organization Controls (SOC) 2 Type II Audit examination for the company’s artificial intelligence (AI)-driven contract discovery, data extraction, and analytics platform. Seal Software retained the globally recognized compliance firm of Schellman & Company to conduct the audit. The examination resulted in an unqualified attestation that Seal Software meets or exceeds the most rigorous security, confidentiality, and availability standards and procedures in the industry as defined under the stringent SOC 2 criteria.
“Seal Software is deeply committed to safeguarding our customers’ and partners’ sensitive data,” said Ulf Zetterberg, co-founder and CEO at Seal Software. “Successful completion of this voluntary evaluation demonstrates that our compliance and security controls and process adhere to uncompromising standards, but perhaps more importantly it is an assurance that we are operating according to the highest principles of trust.”
Seal Software’s contract discovery and analytics platform employs AI to help enterprise firms maximize revenue and improve business efficiency. Recognized as among the most commercially advanced applications of AI for intelligent data analysis, Seal’s technology is used by many of the world’s largest and most respected companies and corporate legal departments to create value from data across their entire contract corpus.
SOC 2 engagements are performed in accordance with the American Institute of Certified Public Accountants’ (AICPA) AT-C 205, Reporting on Controls at a Service Organization and based on the trust service principles outlined in the AICPA Guide, Reporting on Controls at a Service Organization Relevant to Security, Availability, Processing Integrity, Confidentiality, or Privacy. The SOC 2 Type II report is performed by an independent auditing firm and is intended to provide an understanding of the service organization’s suitability of the design and the operating effectiveness of its internal controls.