Harvey, the legal AI company, has rolled out an upgrade to its contract review tool that uses a multi-agent system. The change is designed to boost both efficiency and accuracy, and it's already reshaping how legal teams handle their workflows.
A new layer of automation
Instead of relying on a single AI model to process an entire contract, the upgraded system deploys multiple specialized agents that work in parallel. Each agent focuses on a different part of the review—one might scan for missing clauses, another flags risky language, a third checks consistency against company standards. The agents then combine their findings into a single report.
That division of labor is what sets the upgrade apart. By breaking the task into smaller pieces, the system can handle more complex contracts without slowing down. It also reduces the chance that a critical issue gets overlooked, since each agent is trained to catch specific types of problems.
What changes for legal teams
For lawyers and paralegals, the practical effect is less time spent on routine checks and more time for judgment calls. The multi-agent setup doesn't replace human review—it flags what needs attention and leaves the final decision to a person. That means teams can move through a backlog of contracts faster, and they can do it with a higher degree of confidence that nothing slipped through.
The upgrade also changes how legal work gets assigned. Instead of one person reading a contract end to end, the system can route different sections to different specialists, or simply present a consolidated list of issues. That's a shift from the traditional linear review process, and it's one that many in-house legal departments have been waiting for.
Harvey's move is part of a broader trend in legal technology: moving from single-purpose tools to systems that mimic how a team actually works. A multi-agent approach means the software can adapt to the way a company operates, rather than forcing the company to adapt to the software. For enterprises, that could mean faster contract cycles, fewer missed obligations, and a clearer audit trail of what was reviewed and why.
The upgrade is live now, but Harvey hasn't disclosed the exact architecture or the number of agents involved. What's clear is that the company is betting on collaboration between AI models as the next step for legal automation. Whether that bet pays off will depend on how well the system performs in real-world use—and how quickly other legal tech providers follow suit.
