Abstract: Current systems for insurance data management do not avail for the creation of customizable future care insurance plans. Described herein are computer-implemented interactive systems and methods allowing for the creation, management, storage, retrieval, and communication of data representative of at least one customizable future care insurance plan. The systems and methods permit the creation of customizable future care insurance plans based on an agreed to future medical care plan through the cooperation of various cooperating third party providers (i.e., self-selected and/or selected based on defined criteria) specifically containing at a minimum at least one excess coverage above a primary health plan providing band coverage to ensure the that the agreed to future medical care plan is deployed throughout the life-term of the intended covered party.

Abstract: A computer-implemented interactive system and methods allowing for the generation of patentable subject matter analysis data representative of the likelihood of whether an invention, characterized through answers to a selected questionnaire, contains patentable subject matter are provided. In an illustrative implementation, an exemplary patentable subject matter environment comprises a patentable subject matter engine operable on a computing environment machine, and an instruction set having at least one instruction set to instruct the patentable subject matter engine to process data representative of one or more answers to a selected questionnaire which characterizes an invention to generate a patentable subject matter report providing a likelihood of whether the invention contains patentable subject matter according to a selected patentable subject matter analysis paradigm comprising a decision tree which provides guidance regarding the generation of the patentable subject matter report.

Abstract: Systems and methods are provided allowing the scraping and processing of regulatory compliance data (e.g., validation data). In an illustrative implementation, a data scraping and processing computing environment comprises a data scraping and processing engine operable to process/scrape legacy regulatory compliance data stored on one or more cooperating legacy data stores according to one or more selected data scraping guidelines. The data scraping guidelines can be defined according to one or more data types stored on the one or more cooperating legacy data stores. The one or more data scraping guidelines are defined by the data scraping and processing engine based on one or more characteristics of the identified legacy data stores. The data scraping and processing engine processes the stored data scrape and aggregate selected legacy regulatory compliance data for use in populating one or more selected regulatory compliance data templates.