LegalStudied

Contract review swarm on an MSA

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

Open the live lab · preloaded to this scenario

Multiagent Orchestration Economics 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

Multiagent 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 Architecture and Protocol Strategy Artifacts · 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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