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Contract intelligence comes to PDF

According to a new Adobe Acrobat survey, 89% of knowledge workers encounter contracts on the job, with more than half (52%) saying they work with contracts at least weekly. The survey also found that 61% of knowledge workers have signed a contract at work without knowing what’s in it while 63% of technology leaders say difficulty interpreting contracts and confusing terms has caused business delays.

Last year, Adobe introduced Acrobat AI Assistant, a conversational engine integrated deeply into Reader and Acrobat workflows that generates summaries and insights, answers questions, and can even format information for sharing in emails, reports, and presentations. Now Adobe is introducing new contract intelligence in Acrobat AI Assistant to help make navigating and understanding the information in contracts and agreements easier and faster.

Accelerating contract tasks with AI

Contract intelligence in Acrobat AI Assistant automatically recognizes when a document is a contract—including scanned documents—and tailors the experience, generating an overview, surfacing key terms in a single click, quickly summarizing information, and recommending questions. Users can quickly see differences between versions​, check for consistency, and catch discrepancies​ across up to 10 contracts—including scanned documents—and clickable citations make it fast and easy to navigate to the source and verify responses.

While the new capabilities aren’t a substitute for professional legal advice, business users can leverage them to save time on tasks like identifying key dates in vendor contracts or preparing to review partnership agreements with legal. Finance teams can accelerate reviews of sales contracts and marketers can pinpoint changes in updated scopes of work and quickly find deliverables in brand and advertising partnerships. 

Protecting data and enhancing reliability

As the inventor and innovator of PDF, Adobe Acrobat has become a core productivity tool for more than 650 million monthly active users who open 400+ billion PDFs in the app each month. 

Adobe Acrobat AI Assistant supplements LLM technologies with the same artificial intelligence and machine learning models behind Liquid Mode, the technology that supports responsive reading experiences for PDFs on mobile. These models provide a highly accurate understanding of PDF structure and content, enhancing the quality and reliability of AI Assistant’s outputs. 

Budhaditya Baul, Director of Product Management at Adobe, manages Document Cloud’s Generative AI efforts for 0-1 products such as Liquid Mode, AI Assistant, and other projects currently in incubation. According to Baul, the team built additional prompt engineering and an intelligent framework on top of Acrobat AI Assistant’s core capabilities to help deliver more accurate and relevant responses specifically for contracts.  

“Acrobat customers are already opening billions of contracts in the app every month,” said Baul. “By bringing contract-specific intelligence to Acrobat AI Assistant and also leveraging a custom-built intelligent citation engine to help customers quickly verify responses, we can make AI Assistant even more valuable for enterprises—all while keeping their data safe.”

Learn more about AI Assistant.


Read More from This Article: Contract intelligence comes to PDF
Source: News

Category: NewsFebruary 6, 2025
Tags: art

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    Tiatra LLC.

    Tiatra, LLC, based in the Washington, DC metropolitan area, proudly serves federal government agencies, organizations that work with the government and other commercial businesses and organizations. Tiatra specializes in a broad range of information technology (IT) development and management services incorporating solid engineering, attention to client needs, and meeting or exceeding any security parameters required. Our small yet innovative company is structured with a full complement of the necessary technical experts, working with hands-on management, to provide a high level of service and competitive pricing for your systems and engineering requirements.

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