Systems and Methods of Predictive Filtering Based on Filter Values

A method, comprising:

• receiving a plurality of documents;
• receiving a selection of a filter value, the filter value being a field value or a set of field values for the received plurality of documents;
• generating a prediction of responsive phrases, responsive concepts, or other meta-data, the prediction based at least in part on evaluating the received plurality of documents based on the filter value, the filter value serving as an input for the generating of the prediction of the responsive phrases, the responsive concepts, or the other meta-data;
• further evaluating the received plurality of documents based on a new filter value, the new filter value being one of the predicted responsive phrases or predicted responsive concepts;
• generating a prediction of other responsive phrases or other responsive concepts;
• generating a predictive value for each of the other predicted responsive phrases or the other predicted responsive concepts, the predictive value being indicative of a likelihood that the other predicted responsive phrases or the other predicted responsive concepts are to be associated with documents of the received plurality of documents that are tagged with the filter value;
• automatically generating filter criteria based on the predictive value for each of the other responsive phrases, the other predicted responsive concepts, or other predictive meta-data, the filter criteria being based on identified key phrases comprising selectable filter parameters;
• receiving a selection of at least one of the filter criteria;
• building and applying a filter based on the selection;
• based on the filter, generating documents from at least a sub-portion of the received plurality of documents;
• updating the filter value with the selection of the at least one of the filter criteria;
• rebuilding and applying the rebuilt filter;
• and
• based on the rebuilt filter, identifying additional documents found in a subsequent evaluation of the received plurality of documents.

A system, comprising:

• a processor;
• and
• a memory for storing executable instructions, the processor executing the instructions to:
• receive a plurality of documents;
• receive a selection of a filter value, the filter value being a field value or a set of field values for the received plurality of documents;
• generate a prediction of responsive phrases, responsive concepts, or other meta-data, the prediction based at least in part on evaluating the received plurality of documents based on the filter value, the filter value serving as an input for the generating of the prediction of the responsive phrases, the responsive concepts, or the other meta-data;
• further evaluate the received plurality of documents based on a new filter value, the new filter value being one of the predicted responsive phrases or predicted responsive concepts;
• generate a prediction of other responsive phrases or other responsive concepts;
• calculate a predictive value for each of the other predicted responsive phrases or the other predicted responsive concepts, the predictive value being indicative of a likelihood that the other predicted responsive phrases or the other predicted responsive concepts are to be associated with documents of the received plurality of documents that are tagged with the filter value;
• automatically generate filter criteria based on the predictive value for each of the other responsive phrases, the other predicted responsive concepts, or other predictive meta-data, the filter criteria being based on identified key phrases comprising selectable filter parameters;
• receive a selection of at least one of the filter criteria;
• build and apply a filter based on the selection;
• and
• based on the filter, generate documents from at least a sub-portion of the received plurality of documents.