This is the second article in our series on agentic AI for in-house counsel.
Agentic AI—artificial intelligence systems capable of autonomously planning and performing tasks, making decisions, and interacting with various systems to accomplish specific, pre-defined goals—is gaining recognition as the next evolution of artificial intelligence. Agentic commerce applies this capability to shopping and purchasing, empowering AI agents to coordinate and often fully execute transactions with online retailers: consider, for example, an AI assistant that monitors the price of flights and automatically books tickets once they drop below a certain amount.
To enable agentic AI at scale, companies are developing and adopting open-source protocols that establish a common language between consumer tools, business platforms and payment providers. For instance, in January 2026, Google released its Universal Commerce Protocol (UCP), which was developed in collaboration with several industry partners and is now endorsed by over 20 global partners, including payment networks, payment processors and major retailers. The UCP integrates with Google’s Agent Payments Protocol (AP2), which was released last fall. This follows OpenAI's earlier Agentic Commerce Protocol, which enables ChatGPT users to buy directly from certain online sellers without leaving their chat.
As these industry standards move toward implementation and organizations weigh adoption, we share five key questions that in-house counsel of all organizations implicated in agentic transactions—including merchants, networks, payment issuers, agent users and agent providers—should consider.
As an initial consideration, in-house counsel should have a firm grasp as to what aspects of agentic commerce their organization is seeking to introduce. Agentic commerce can refer to a number of different functionalities. For example, the UCP has been designed to be modular, allowing businesses to select which capabilities (e.g., check-out, order and identity-linking capabilities) or capability extensions (e.g., discounts) to incorporate. Understanding the scope of the given initiative will be critical to answering the key questions below and advising on applicable risks.
When looking at initiatives related to agentic commerce, in-house counsel should consider how consent will be obtained and proven for transactions initiated and/or completed by AI agents—and whether additional requirements should be imposed on the merchant or payment provider to minimize the risk of a buyer disputing the transaction.
Under current agentic commerce models, some transactions can be preauthorized by users, allowing agents to purchase fully on their behalf. Other transactions may, however, require real-time user consent either because (a) the user did not preauthorize the agent to act on its behalf, or (b) there are regulatory constraints, merchant policies or other factors that require escalation to the user for additional information or express confirmation.
For example, the UCP requires cryptographic proof of user consent for each transaction. When a checkout session is created, the merchant embeds a cryptographic mandate documenting the transaction terms (e.g., price and line items). When the purchase is confirmed, the cryptographic mandate is signed using a key produced by either the AI assistant or the user’s digital wallet credentials.
Agentic commerce processes necessarily require the collection, use, disclosure and retention of information—likely including consumers’ personal information. Beyond transaction essentials (e.g., payment verification information, session/device/browser information), certain tools may also process information for data analytics, marketing and data sales. These additional purposes may trigger various privacy protections, such as express consent requirements and opt-out rights.
In-house counsel should consider what data is being collected, shared and retained through these systems and ask whether it raises privacy concerns. Current protocols, including the UCP, explicitly recommend legal consultation on privacy and consent issues. Key considerations include:
It remains to be seen how organizations will be able to obtain valid and demonstrable consent for fully autonomous purchases, particularly given the notice requirements under Canadian privacy laws.
Depending on the transaction, agentic commerce may engage a range of legal and regulatory requirements, including:
Another important consideration is how responsibility is allocated when an AI agent initiates a transaction that is later disputed as erroneous, fraudulent or otherwise unintended. In-house counsel should consider:
In-house counsel should review and update:
To discuss these issues, please contact the author(s).
This publication is a general discussion of certain legal and related developments and should not be relied upon as legal advice. If you require legal advice, we would be pleased to discuss the issues in this publication with you, in the context of your particular circumstances.
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