Orchestrator-worker pattern balances quality, latency, and complexity
An orchestrator agent distributes rule-specific review tasks to parallel subagents—each functioning like a legal associate—and reconciles results, including conflict resolution. This balances output quality, system latency, and engineering complexity.
Supporting evidence
Rebuilding Playbook Review as a Multi-Agent System | Harvey
Original excerpt
We proved with a single agent prototype that quality problems can be solved with an agent. Often the best way to improve on latency is to find ways to parallelize work. With that idea in mind, we implemented an orchestrator-worker pattern consisting of a lead agent in charge of distributing work between parallel agents. Each of these agents in turn focus on a specific task, in this case reviewing a rule, and finally the lead agent reconciles the results to ensure final output is of good quality.