A system for detection of potential legal liability is presented. The system uses factual information that has triggered liability based on any number of legal theories, and compares the words expressing those facts to customer and employee communications in order to identify potential liability to an enterprise by reviewing of the enterprise's emails. The system generates seeding information based on the factual information and words expressing certain sentiments, and provides the seeding information to a document fracturing engine which scans the email archives and identifies emails with words that potentially give rise to a liability risk. The identified emails may then be reviewed by authorized personnel so that appropriate proactive and/or corrective action may be taken before the legal liability occurs.
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