Harvey has introduced a playbook builder that turns a legal team’s existing source material into structured rules for contract review. Instead of writing every instruction from scratch, users can start with approved templates, previous playbooks, marked-up contracts, a document collection or a guided conversation with Harvey.
The feature addresses a familiar problem in legal operations: review standards often exist, but they are spread across documents, individual comments and the experience of senior lawyers. The builder analyses those sources and proposes a playbook that can be reviewed before it is used on live work.
From redlines to explicit review rules
Each proposed rule can capture a preferred position, acceptable fallback language, guidance, required actions, conditions and escalation points. That is more useful than simply extracting clauses because it records how the team expects a reviewer to respond when a contract departs from the preferred wording.
Harvey displays the emerging rules alongside the source material and asks clarifying questions where the evidence is incomplete. A rule includes a summary and explanation, with citations back to the documents that informed it. Those links are important for legal review: a lawyer can inspect the basis for a suggestion instead of treating an AI-produced rule as authoritative.
The builder also flags apparent gaps and suggests areas that may need another rule. That can help expose standards that are understood informally but never documented. It should not be read as proof that a playbook is complete. The model only has the sources and instructions supplied to it, while unusual deal terms and jurisdiction-specific concerns still require professional judgement.
A playbook can keep changing after its first draft
Users can refine the playbook conversationally rather than rebuilding it whenever policy changes. A legal team might tighten an escalation threshold, add a newly approved fallback or clarify how a rule applies to a particular contract type. Keeping those changes in the shared playbook can make future reviews more consistent.
Once approved, the playbook can be used in Harvey’s web application or its Microsoft Word experience. That keeps the standards close to the document under review, where lawyers can assess findings in context and decide whether a recommendation fits the transaction.
The product is best understood as a knowledge-capture and review tool, not an autonomous approval system. Source selection will shape the result. A collection of inconsistent historical redlines may encode disagreement rather than policy, and outdated templates may preserve positions the organisation no longer accepts. Teams will need an owner for the playbook and a process for approving revisions.
Consistency is the real promise
Harvey cites Carvana as reporting an 80 per cent reduction in drafting and review time after adopting its tooling. That is a customer result presented by the vendor, not a general performance guarantee. The more broadly relevant benefit is the possibility of making review standards visible and repeatable across a legal team.
The announcement does not set out a standalone price for the builder. Harvey directs interested customers to their account team, so access and commercial terms should be confirmed for each organisation. Data handling, permissions and regional availability also need to be assessed against the sensitivity of the source contracts used to create a playbook.
For teams that already maintain careful templates and review guidance, the builder offers a faster route from those materials to an operational checklist. For teams whose standards mostly live in individual lawyers’ habits, the more valuable step may be the conversation it forces: deciding which positions really represent the organisation before asking AI to apply them.