Navigating AI and ML Vendor Contracts: A Phased Approach for Legal Professionals

Navigating the complexities of contracts presented by artificial intelligence (AI) and machine learning (ML) vendors can present unfamiliar territory to the uninitiated. With no clear road map for negotiation, corporate legal professionals are tasked to make informed decisions about such contracts with both speed and precision.

Proposing a phased approach to this challenge, legal experts Reeya Thakrar and Ira Kalina at Faegre Drinker advice customers to implement thorough due diligence and reassess the needs for additional contractual clauses these agreements may necessitate. This strategy not only provides a procedural structure, but also safeguards the interests of the customer.

In today’s rapidly evolving digital landscape, service offerings such as hiring, cybersecurity, content generation, and customer service often incorporate, or are outright dependent on AI and ML technologies. Thus, the necessity for a guiding principle in handling the associated contracts is more essential than ever.

Such structures and concepts should prove valuable in helping professionals navigate these waters. For a more detailed discussion of Thakrar and Kalina’s phased approach, consider reviewing their full insights here.