- Zeal’s new AI prioritizes data privacy using local learning models for each client.
- Zeal, a leading Contract Lifecycle Management (CLM) platform, announced today the introduction of a new AI assistant feature into their platform designed to provide legal operations professionals with more tools to tackle repetitive administrative tasks.
Zeal’s new AI assistant, integrated into the editor module of the platform, allows users to ask questions, complete writing tasks, and summarize lengthy legal documents for end-users. Zeal has implemented an AI approach that prioritizes data confidentiality in an effort to recognize the confidential nature of legal data. “Our AI assistant is built on local learning models centered around individual customer accounts,” explained Matthew Solé, CEO of Zeal. “This approach ensures that the intelligence generated is highly relevant and secure, as it doesn’t rely on aggregate data sets or large learning models that could compromise confidentiality.” - “Due to the confidential nature of the data, learning from large data sets or models becomes more challenging. Valuable insights will be derived through local learning models.”— Lorena Popa, Head of Product
The AI assistant is specifically tailored to meet the new needs of legal operations professionals across industries, especially the non-attorney team members in industries like staffing, entertainment, construction, and the nonprofit sector, who often find themselves managing legal administrative tasks crucial to company growth.
“Legal operations teams are at the forefront of innovation within legal departments,” added Mr. Solé. “Our AI assistant is built to support their mission of streamlining processes and delivering valuable business intelligence to leadership teams.”
Zeal’s AI assistant offers a range of capabilities to enhance efficiency and accuracy in contract management:
- – Document summarization for quick insights
- – Writing assistance for contract creation
- – Question-answering functionality for rapid information retrieval
Future phases of the tool will incorporate advanced reporting and dynamic task execution, further automating and optimizing contract management workflows.
