Systems and methods for assessing consistency of interrogation responses with a record of facts

A system configured to assess consistency of responses, the system comprising:

• electronic storage that stores embedded case content, wherein the embedded case content includes vector space representations of case content which indicate semantic adjacency;
• and
• one or more physical processors configured by machine-readable instructions to:
• determine, based on audio captured by an audio capture device during a proceeding associated with a first case and involving a first participant, a first inquiry provided to the first participant and a first response provided by the first participant in response to the first inquiry;
• prompt a machine-learning model with instructions that cause the machine-learning model to:
• generate a first vector space representation of the first inquiry;
• identify first case content associated with the first case that is semantically adjacent to the first inquiry;
• and
• compare the first case content and the first response to assess consistency of the first response;
• obtain outputs from the machine-learning model, the outputs conveying an assessment of consistency between the first case content and the first response;
• and
• provide the assessment of consistency to a user contemporaneously with obtainment of the audio.