Abstract: A method and system can include processing title and title opinion document images to generate text information. Trained models may generate data objects representative of period of time during which certain rights to a property exist. The trained models may also generate rules for modifying the data objects and interrelating the data objects to each other. In some examples, a confidence level can be generated and will reflect a likelihood of a data object including correct information. The modified and interrelated data objects may be used to generate a navigable interface which includes a current title status for a property and a navigable chain of title reflecting historical rights to the property.

Abstract: In various embodiments, the disclosed systems and methods may receive documents, analyze the documents, categorize portions of the analyzed documents, and present the images of the documents and at least a portion of the categories. The analysis may include identification of categories and the presentation may include indicia of the portion of the image of the document related to the category. The systems and methods disclosed may allow querying and/or reporting of a plurality of documents to facilitate processing.

Abstract: A method and system can include processing title and title opinion document images to generate text information. Trained models may generate data objects representative of period of time during which certain rights to a property exist. The trained models may also generate rules for modifying the data objects and interrelating the data objects to each other. In some examples, a confidence level can be generated and will reflect a likelihood of a data object including correct information. The modified and interrelated data objects may be used to generate a navigable interface which includes a current title status for a property and a navigable chain of title reflecting historical rights to the property.