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See how finance teams can use contract intelligence to improve visibility into risk and commercial terms while reducing manual contract review. CFO organizations depend on data, but important business data still sits inside contracts. A CRM may show the value of a customer relationship. The contract contains the terms that govern it, including termination rights, price holds, renewal provisions, and payment terms. An ERP shows what was billed, while the agreement may contain acceptance criteria, credits, rebates, or other obligations that affect how finance manages the transaction. Accessing this information across thousands of agreements takes time. Finance teams have to find documents, locate relevant terms, capture the information, and reconcile it with data in other systems. Analyzer in Adobe Acrobat Studio uses generative AI to turn collections of contracts and other business documents into structured data. Teams define the information they need and run that analysis across a doc
Analyzer in Acrobat is now HIPAA ready. Eligible customers can use it for applicable workflows involving Protected Health Information (PHI) once the required Business Associate Agreement (BAA) and product enablement steps are complete. Here's what that means and how to get started: 1. What Analyzer in Acrobat does Analyzer in Acrobat extracts structured, auditable data from documents at scale. You define the attributes you want to capture, such as contract values, dates, or terms, and Analyzer extracts them across a collection of documents. You can then review, validate, and export the results. 2. How this helps Pharma and Life Sciences organizations Document-heavy teams in pharma and life sciences work with agreements, study documentation, and regulated records. Here are two examples where HIPAA readiness applies: Clinical trial document review: Extract protocol terms, consent provisions, and reporting obligations from clinical trial agreements and study documentation. Example attri
We are introducing Analyzer in Acrobat, a new document intelligence capability for enterprise teams. It takes on work that is still manual across most business functions: reading large volumes of documents to find complex information in each one. Accounting and FP&A teams comb customer contracts for revenue-recognition and booking triggers, procurement operations pull commercial terms from vendor agreements and statements of work to benchmark rates, and information security clears software vendors against compliance reports. The common thread: extracting structured information from unstructured documents to make business decisions.These are business-critical tasks, and doing them manually forces a compromise. The work stays slow and expensive, or teams review only a sample and accept risk in everything they didn’t read. Often, it’s both. How Analyzer solves this.Analyzer is a new enterprise capability in Acrobat Studio. It uses generative AI to turn collections of complex unstructu
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