Source: The National Law Review

The National Law Review provides a critical checklist for legal and compliance professionals considering the adoption of AI-powered transcription services. The article outlines seven essential questions that organizations must ask potential vendors to mitigate risks related to data security, confidentiality, and regulatory compliance. The first question concerns the vendor's data handling practices, specifically where data is stored, who has access, and whether it is used to train the AI model. This directly impacts client confidentiality and the attorney-client privilege, which could be inadvertently waived if sensitive information is shared with or used by a third party.

Further questions focus on the security measures the vendor has in place, such as encryption standards and access controls, to protect against data breaches. The article also advises inquiring about the AI model's accuracy and the process for correcting errors, as inaccuracies in a legal transcript can have severe consequences. Other key areas of inquiry include the vendor's compliance with data protection regulations like GDPR and CCPA, their liability and indemnity provisions in case of a breach or error, and the contractual terms regarding data ownership and deletion policies. By conducting this thorough due diligence, legal teams can harness the efficiency of AI transcription while safeguarding sensitive information and ensuring compliance.