LegalStudied

Contract-review swarm on an MSA

A four-agent swarm redlines a vendor MSA — the critic earns its keep.

Open the live lab · pre-loaded to this scenario

Multi-Agent Orchestration Board

Context

A corporate legal team runs ~400 vendor MSAs a quarter. A single agent misses cross-references; the swarm splits it — a clause-extractor pulls terms, a risk-scorer flags liability/indemnity/termination, a redliner proposes edits, and a citation-checker verifies every claim against the firm's playbook.

The decision

Multi-agent buys ~30% higher risk-catch on this class for ~2.4× cost and latency. Trivially worth it on a $2M MSA; not on a $5k click-through.

What most miss

The value isn't the extra agents — it's the critic. Without an adversarial reviewer, a swarm just produces confident, un-cited redlines faster.

Stakes

One missed auto-renewal or uncapped-liability clause dwarfs a year of inference cost.

Takeaway · I add agents where a critic changes the outcome, not where it adds motion.

Studied · Agent & Protocol · verified 2026-07-03

Sources: Commercial-contracting norms — MSA structure, indemnity/liability/termination clauses; Public legal-AI product patterns — clause extraction + playbook checks

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