Anthropic seeks lawyers’ advice on rules for AI dealmaking, FT reports
The reported consultations weigh human input and distrust between agents, alongside the challenge of representing users while honoring fair outcomes.
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The reported consultations weigh human input and distrust between agents, alongside the challenge of representing users while honoring fair outcomes.
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The reported work concerns how an agent should represent a user in a deal while treating the other side fairly, when to ask its user for guidance, and how much to trust a competing agent. Anthropic has not announced rules, and it declined to comment to the Financial Times. The stakes include both the reliability of delegated negotiations and the possibility that stronger models’ reported bargaining advantage could widen inequality; the latter is a potential consequence, not an observed effect.
Potential uses include negotiating prices, resolving complaints, and seeking better contract offers for users.
Anthropic is weighing how much human input agents should request during negotiations.
A source said the company is considering how to avoid agents becoming either too suspicious or too trusting of counterparts.
An AI agent negotiating for a user may face another agent pursuing conflicting goals. Anthropic is seeking lawyers’ advice on how those exchanges should work, the Financial Times reported on October 18, 2026. Citing two people familiar with the company’s thinking, the FT described consultations with law firms about how attorneys conduct negotiations.
The lawyers’ role offers a specific model: representing a client while honoring fair outcomes. According to PYMNTS’s account of the FT reporting, Anthropic wants to understand how attorneys manage that balance. The focus is therefore not simply on bargaining skill, but on the practices lawyers use when acting for someone else.
The prospective uses include negotiating prices, resolving complaints and seeking better contract offers on a user’s behalf, according to The Decoder, also citing the FT. One source familiar with Anthropic’s work described the company as considering “negotiation norms” for interactions between models representing users whose goals are at odds.
A separate consideration is how an agent should judge its AI counterpart. The source said Anthropic was balancing how suspicious agents should be without becoming “paranoid” or “conspiratorial.” That concern addresses the agent’s attitude toward the other negotiator, rather than how often it checks back with its own user.
Bargaining ability adds another concern. The Decoder says Anthropic’s experiments found that stronger models negotiated better deals, raising the possibility of wider societal inequality. The experimental result concerns negotiation outcomes; the inequality warning describes a possible consequence, not an observed social effect.
The work remains reported deliberation, rather than an announced set of negotiation rules. Anthropic declined to comment when contacted by the FT.
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