As transactions driven by agentic artificial intelligence continue to rise, a clear understanding of what happens when problems occur is needed, according to ManceAs transactions driven by agentic artificial intelligence continue to rise, a clear understanding of what happens when problems occur is needed, according to Mance

US Arbitration Giant Launches ‘Legal Layer’ to Support Agentic Commerce

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As transactions driven by agentic artificial intelligence continue to rise, a clear understanding of what happens when problems occur is needed, according to Mance Harmon, co-founder of Hedera.

An open standard known as the Legal Context Protocol has been introduced by the American Arbitration Association together with a wide alliance of technology, cryptocurrency, and enterprise firms, with the initiative aimed at embedding a legal framework into transactions carried out by agentic AI systems.

The Legal Context Protocol was unveiled on Wednesday by the not-for-profit American Arbitration Association in collaboration with Integra Ledger, with the initiative intended to address potential legal complications that may emerge during transactions conducted between autonomous agents.

“The legal framework that has supported e-commerce for the past two decades, including click-through agreements and terms of service, simply does not carry over when agents are negotiating with other agents,” said Bridget McCormack while discussing the protocol during a podcast in May. She added that some form of understanding was needed regarding how legal context should be attached to agentic transactions.

The introduction of the new protocol comes at a time when enterprise firms and financial institutions are exploring ways in which agentic AI can be integrated into commerce. Spending within the agentic payment economy is projected by Gartner to reach $15 trillion by 2028.

The AAA explained that the LCP is intended to make legal terms, consent requirements, and dispute resolution mechanisms both discoverable and verifiable when transactions are carried out by AI agents on behalf of individuals and organizations.

LCP, which does not rely on blockchain technology, is designed to complement existing payment and identity frameworks such as x402 and the Machine Payments Protocol by clarifying the terms under which a transaction occurred, the governing legal framework, and the available avenues for recourse.

“Payment infrastructure for AI agents is currently being developed, but the legal framework defining what was agreed, under which conditions, and how disputes should be settled has not yet been established,” said David Fisher, the chief executive of Integra Ledger and a co-founding partner of the initiative.

As AI agents begin making decisions and carrying out transactions on behalf of users, a clear understanding of what happens when something goes wrong is needed, according to Mance Harmon, co-founder of Hedera.

Founded in 1926, the American Arbitration Association is recognized as the world’s largest private provider of alternative dispute resolution services. A partnership has also been formed with Integra Ledger, a company that develops open protocols and middleware designed to provide AI agents with verifiable identities.

Founding support for the protocol has been provided by a broad group of technology and cryptocurrency firms, including Google, IBM, Circle, Wayfair, the Stellar Development Foundation, Ava Labs, Cardano, Hedera, Crossmint, the Aptos Foundation, Sei Labs and Mysten Labs, the original contributor behind Sui.

Analysts Forecast Massive Growth for the Agentic AI Market

In 2026, agentic AI payments have emerged as one of the dominant narratives, with differing forecasts being made regarding the speed of adoption and the scale of growth expected in the near term.

In March, it was estimated by Digital Applied that the agentic AI market could expand by more than thirtyfold over the next decade, rising from its current value of $7.6 billion to roughly $236 billion by 2034. Even higher projections have been offered by global research from McKinsey & Company, which suggests the market could grow to as much as $5 trillion by 2030.

A “24-fold increase in token consumption by 2030” is expected to be driven by agentic AI as both consumers and enterprises increasingly adopt the technology, according to a forecast issued by researchers at Goldman Sachs in May.

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