Zuva Analyze accelerates legal workflows by using AI to extract contract data, classify documents, and support contract lifecycle management. It enables users to process large volumes of contracts quickly, reducing manual effort and improving accuracy. With features like secure storage, custom field training, and integration options, Zuva supports a range of use cases from due diligence to contract automation.
Zuva Analyze is an AI-powered platform designed to streamline legal workflows by extracting contract clauses, identifying key data points, and classifying documents. It helps legal professionals and organizations accelerate decision-making during processes like M&A due diligence, contract negotiation, and lease abstraction. The tool leverages generative AI and machine learning to extract over 1,400 unique contract data points and classify more than 200 document types, making it ideal for teams looking to automate repetitive tasks and improve efficiency in contract management.
A.AI contract review uses artificial intelligence techniques like natural language processing and machine learning to help review legal documents. Zuva focuses on using AI to pull data out of contracts and using that data to further automate business and legal processes.
A.Yes, Zuva uses a variety of AI techniques, including Generative AI, to convert contracts into data. Generative AI is layered on top of machine learning results to interpret contracts and provide structured answers to questions.
A.Yes, you can test Zuva on 5 of your documents for free. Zuva's AI models can determine contract language, classify over 200 document types, and extract 1,400 legal clauses within minutes.
A.The main advantages of using AI tools for contract review are speed, pricing, and accuracy. AI allows legal teams to streamline contract analysis and automate contract workflows so they can make faster, informed decisions.
A.Zuva has an experienced team in building AI contract review software since 2011. Its AI runs on similar technology to Kira Systems and incorporates new technologies like large language models and generative AI.
