Agentic Contractual Frameworks

API, MCP and token-based contracts

Programmatic access surfaces—REST APIs, Model Context Protocol servers, and token-metered endpoints—need contracts that match how they actually behave. We draft and review terms that govern autonomous calls and keep you aligned with the model providers underneath you.

• →Acceptable-use terms written for agent consumers, not just humans
• →Usage metering, rate-limit and overage dispute handling
• →Liability allocation for autonomous and chained calls
• →Back-to-back alignment with downstream model-provider terms

Delegated agent-to-agent transactions

When one agent acts for a principal—or contracts with another agent on its behalf—classical agency law strains. We structure delegation so transactions executed by AI agents are legally binding, auditable, and unwindable when something goes wrong.

• →Delegation chains and scoped authorization
• →Machine-readable consent and mandate records
• →Audit trails that survive a dispute or regulator request

Liability & the autonomy gap

The harder an agent works on its own, the murkier the question of who answers for it. We allocate risk cleanly across the principal, the operator, and the model provider—so a bad autonomous call doesn't become an unbounded, uninsurable liability.

Agentic dispute resolution

Agent-to-agent (A2A) interactions will produce a new class of disputes: bad calls, hallucinated commitments, runaway loops, and contested deliveries. We design resolution mechanisms suited to systems where humans aren't in every loop.

• →Arbitration clauses tuned for automated execution
• →On-chain attestations and escrow patterns
• →Rollback and unwind procedures for mis-execution

Machine-readable terms & settlement

Contracts that agents must honor should be expressed in a form agents can parse. We pair human-readable terms with the structured representations and settlement rails your systems actually execute against, so legal intent and machine behavior stay in sync.