multi agent systems · multi agent
Legal Research Draft Review Trio Agent
Turn legal research draft review trio requests into verified multi-agent run transcript using observable tool steps.
- multi-agent-systems
- orchestrator
- message-bus
- legal-research
How to watch
Play starts at Input. Each station works, then a labeled packet travels the wire.
On station · 5.2s · 0/0
Packets stay on the wire. This is a conceptual simulation, not a live model run.
What Legal Research Draft Review Trio Agent does
A legal research draft review trio agent is an AI agent specialized in legal research draft review trio. It does not answer from memory alone. It delegate subtasks to specialist agents and merge results, stores observations, verifies completeness, and delivers multi-agent run transcript with explicit gaps when tools fail.
The agent receives a legal research draft review trio task, plans tool calls (orchestrator, message-bus, shared-memory, supervisor), executes delegate subtasks to specialist agents and merge results, keeps working notes, verifies the draft, and publishes multi-agent run transcript. If a worker agent returned an incomplete partial result, it supervisor reassigns the subtask with tighter constraints. This page simulates that observable loop — not private chain-of-thought.
Workflow
Each step maps to a node in the lab above. and watch the packets travel.
- 01Input
Receive task
Accept the legal research draft review trio request and output constraints.
Data preview
In
Run legal research draft review trio for Q3: produce multi-agent run transcript with audit trail.
Out
Normalized objective: produce multi-agent run transcript.
- 02Plan
Plan the run
Choose tool order for Delegate subtasks to specialist agents and merge results.