Zuva

Teams typically use Zuva Analyze when they need to turn a pile of contracts into answers they can act on. A common workflow starts by gathering agreements from shared drives, email exports, or a deal room and uploading them in bulk. The platform then sorts documents by type and pulls the fields your team cares about, so reviewers can move quickly from reading full text to validating the extracted terms. Instead of opening each file, users scan the structured results, jump into the source language when something looks off, and correct items that require human judgment.

In due diligence, this process helps analysts compare obligations across hundreds of agreements in a consistent way. They can search across the entire set for specific provisions, confirm whether key clauses are present, and surface outliers that need escalation. For contract operations, the extracted data can be used to build trackers for renewals, notice periods, governing law, pricing terms, and other recurring details. After review, teams export the dataset to Excel or Word for reporting, or pass it into a CLM to populate records and trigger follow-on steps like approvals, reminders, or playbook-based checks.

Zuva Analyze is also applied in ongoing governance work where the same review repeats over time. Legal and procurement groups use it to standardize NDA or vendor contract reviews, quickly identify risky deviations, and respond to internal questions with evidence pulled from the underlying language. When an organization has its own definitions or unique clause patterns, custom field training helps align extraction to internal standards, reducing rework and keeping outputs consistent across reviewers and business units.