Harvey Contract Rule Review
Suggested workflow: Parallelize contract review rules across sub-agents, merge edits, and resolve conflicts. Task: Harvey implemented a multi-agent system for legal contract review against firm playbooks. The workflow assigns one sub-agent per rule, running dozens in parallel to edit separate branches of the document. A reconciliation step merges these edits similar to git operations and escalates any conflicts for resolution.; tools: Tool described in the source. Human role: Not stated in the source; limitations: The primary constraint is the significant increase in processing time (47% higher latency) required to achieve higher quality. The system requires a robust reconciliation mechanism to handle conflicts between parallel edits. Source is a secondary summary of a Harvey blog post..
Tools
Tool described in the source
Published on Agent Work Atlas:
Overview
Suggested workflow: Parallelize contract review rules across sub-agents, merge edits, and resolve conflicts.
Workflow
Harvey implemented a multi-agent system for legal contract review against firm playbooks. The workflow assigns one sub-agent per rule, running dozens in parallel to edit separate branches of the document. A reconciliation step merges these edits similar to git operations and escalates any conflicts for resolution.
Reported result
Redline quality improved from 53% to 87%. However, this accuracy gain came with a 47% increase in latency. The system relies on parallel processing and automated merging to handle complex rule sets.
Human role
Not stated in the source
Limitations
The primary constraint is the significant increase in processing time (47% higher latency) required to achieve higher quality. The system requires a robust reconciliation mechanism to handle conflicts between parallel edits. Source is a secondary summary of a Harvey blog post.
Try it
Act as a legal tech engineer. I need to prototype a parallel contract review system using Harvey's methodology. Inputs: - [Contract Text]: A sample legal agreement. - [Playbook Rules]: A list of 10-20 specific review rules (e.g., 'Check for indemnity caps', 'Verify termination clauses'). - [Target Output]: A consolidated redline document and a conflict log. Steps: 1. Initialize a workspace with the contract text. 2. Spawn parallel sub-agents, one for each rule in the playbook. Each agent should analyze the contract and propose edits on a separate branch or version. 3. Implement a reconciliation step that merges these edits. Use a git-like merge strategy. 4. Identify and flag any conflicting edits (e.g., two rules suggesting contradictory changes to the same clause) for human review. 5. Generate a final consolidated document and a report of unresolved conflicts. Constraints: - Do not auto-merge conflicting edits; escalate them. - Measure the time taken for parallel execution vs. sequential execution. - Ensure the final output is a valid document format. Deliverables: - A script or workflow definition implementing this logic. - A sample output showing merged edits and flagged conflicts. - A brief analysis of latency vs. quality trade-offs observed in the prototype.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.