New utilization of conversational AI (artificial intelligence) and large language models (LLM) in document indexing by Columbus, Ohio-based Razi Title is already providing new efficiency for clients. In an exclusive interview with The Title Report, Razi Title Chief Technology Officer Robert Zwink outlined these additions to his company’s platform, which were made in December. “In our experience, there’s generally always a backlog of paperwork via title plants or data warehouses or starter management systems,” he said. “It all seems to lead back to there being a stack of paper everywhere. In order to streamline that, you have to know what you’re working with. “The ability to use AI to classify documents right down to the page level can help clear out those stacks.As we clear out paperwork, there’s a consumer benefit. When you think about the wait that can happen, or the variability in closings, it’s often a stack of paperwork that you have to get through. AI can streamline operations an...
New utilization of conversational AI (artificial intelligence) and large language models (LLM) in document indexing by Columbus, Ohio-based Razi Title is already providing new efficiency for clients. In an exclusive interview with The Title Report, Razi Title Chief Technology Officer Robert Zwink outlined these additions to his company’s platform, which were made in December. “In our experience, there’s generally always a backlog of paperwork via title plants or data warehouses or starter management systems,” he said. “It all seems to lead back to there being a stack of paper everywhere. In order to streamline that, you have to know what you’re working with. “The ability to use AI to classify documents right down to the page level can help clear out those stacks.As we clear out paperwork, there’s a consumer benefit. When you think about the wait that can happen, or the variability in closings, it’s often a stack of paperwork that you have to get through. AI can streamline operations an...