Abstract: Aspects of the disclosure relate to message compliance analysis. A computing platform may access historical messages. The computing platform may pre-process the historical messages to configure the historical messages for use in training a disclaimer model to identify whether or not input messages include a disclaimer. The computing platform may train, using the pre-processed historical messages, the disclaimer model. The computing platform may receive a new message. The computing platform may input, into the disclaimer model, the new message, which may produce a disclaimer score indicating a likelihood that the new message includes a disclaimer. The computing platform may compare the disclaimer score to a disclaimer threshold. Based on identifying that the disclaimer score meets or exceeds the disclaimer threshold, the computing platform may remove, from a set of messages scheduled for compliance review, the new message, and send, to an intended recipient of the new message, the new message.

Abstract: Aspects of the present disclosure relate to a system. The system includes one or more computers having processing circuitry and a memory storing instructions which, when executed by the processing circuitry, cause the processing circuitry to perform operations including determining a labeled classification from a collection of documents corresponding to an encounter. The collection of documents comprises a first plurality of n-grams. The operations also include determining an evidence score for an n-gram based on contribution of the n-gram to the labeled classification, ranking at least some of the first plurality of n-grams based on the evidence score for each n-gram, selecting an n-gram from the first plurality of n-grams as an explanation evidence based on the ranking and performing at least one operation in response to selecting the n-gram.