| CPC G06F 16/3347 (2019.01) [G06F 16/683 (2019.01)] | 20 Claims |
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1. A system configured to assess consistency of interrogation responses with a record of facts in a legal proceeding, the system comprising:
electronic storage that stores embedded case content, wherein the embedded case content includes vector space representations of case content associated with individual cases, and wherein vector space adjacency of the vector space representations indicates semantic adjacency of the corresponding case content;
one or more physical processors configured by machine-readable instructions to:
obtain audio captured by an audio capture device during a legal proceeding associated with a first case and involving a first participant;
determine, based on the obtained audio, a first inquiry provided to the first participant and a first response provided by the first participant in response to the first inquiry;
obtain vector space representations of case content associated with the first case from the electronic storage;
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 case content associated with the first case that is semantically adjacent to the first inquiry based on vector space adjacency of the vector space representations of the identified case content associated with the first case and the first vector space representation; and
compare the identified case content associated with the first case and the first response to assess consistency of the first response with the identified case content associated with the first case;
obtain outputs from the machine-learning model generated based on the provided inputs, wherein the outputs provide an assessment of consistency between the identified case content associated the first case and the first response; and
provide the assessment of consistency to a user contemporaneously with the obtainment of the audio.
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