Abstract: Systems and methods are described for automatically inspecting and validating unstructured documents having natural language text, such as journal article describing clinical research. For example, a journal's prose may be parsed to identify domain-specific entities and values. Domain-specific rules may be evaluated against generated structured data storing the entities and their corresponding values. rule may relate to a domain-specific requirement for the document. Findings may be generated for each evaluated rule, indicating whether the document meets a corresponding requirement. Feedback indicating whether a given finding is incorrect or is to be updated, which may indicate that the corresponding rule should be updated or removed, may be obtained. Based on the feedback, the set of domain-specific rules may be updated to obtain an updated set of rules including an update to or deletion of the rule. Some embodiments include automatically validating documents using voice enabled features.