Core Principles for Vetting AI Vendors

Overview: 

This course equips lawyers, procurement teams, and AI project leads with a practical framework for evaluating AI vendors, going beyond standard legal clauses to assess critical factors like financial stability, data stewardship, insurance coverage, and compliance with global standards such as ISO/IEC 27001 and ISO/IEC 42001. Through a structured checklist and real-world insights, participants will learn how to document due diligence effectively and make informed, risk-aware decisions when selecting AI partners.

Course Objective: 

By the end of this course, participants will be able to:

• Identify key risk factors when selecting AI vendors, including financial stability and insurance coverage.
• Evaluate vendors’ information security practices against standards like ISO/IEC 27001 and ISO/IEC 42001.
• Assess data stewardship and transparency practices aligned with AI governance frameworks.
• Apply a structured checklist to document due diligence in vendor selection.
• Collaborate effectively across legal, procurement, and technical teams to vet AI providers.
• Make informed, defensible decisions when partnering with AI vendors.

Target Audience: 

This course is designed for legal professionals, procurement teams, compliance officers, and AI project leads who are involved in selecting, contracting, or managing relationships with AI vendors. It is especially valuable for those responsible for ensuring regulatory compliance, data security, and ethical AI deployment within their organizations.

Basic Knowledge:

No technical background is required. However, participants should have a basic understanding of legal, procurement, or compliance processes related to vendor management, as well as a general familiarity with AI applications in business settings.