IP3 2023 – Data Intelligence & Analytics (LOT 14843)

This lot is generally related to a technique of deep learning to analyze internal electronic communications to identify potential litigation threats within an organization. Disclosed are techniques to identify litigation risks based on a company’s internal electronic communications (IECs) by creating a training dataset for all textual data and to apply deep learning algorithms for risk classifications. Also disclosed are techniques to extract the company’s IECs to identify and report threats or risks to their legal department. The system will re-train algorithms, if identified threats or risks are false positive. Further disclosed are techniques to identify health risks by analyzing internal electronic health records or to identify entertainment risks by analyzing proposed entertainment documents. The technology may be implemented in data-analyzing software, risk assessment software, cloud-based health data analytics services, business document review software, etc.