Patent Claim Mapping for Faster Portfolio Relevancy Review
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Solution Overview
Problem
Existing patent search tools provide large volumes of irrelevant results and lack detailed presentation for quick relevancy determination, making it difficult to manage large patent portfolios effectively.
Innovation Solution
A patent management system with integrated tools for prosecution analytics, reference management, and claim mapping, utilizing a common framework with databases and modules for data import, standardization, and advanced analytics to facilitate informed decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional patent search tools are used, then Boolean queries can be performed, but the results are presented in a manner similar to traditional paper format requiring manual review of large volumes of documents
Solution Approach 1:
The patent creates a digital representation (copy) of the patent document structure that enables automated analysis. The system extracts claim elements and maps them to product features, creating a structured data model that can be processed algorithmically rather than requiring manual review of traditional document formats.
Solution Approach 2:
The system replaces manual mechanical review of patent documents with automated computational processes. Claim mapping modules automatically match patent claims to product features using algorithms, substituting the manual process of reading and evaluating patent documents with computer-based analysis.
2Loss of information
If freeform text search tools are used, then information can be extracted from text blocks, but the tools are still limited to performing Boolean queries and displaying a list of results without detailed presentation
Solution Approach 1:
The patent divides patent claims into discrete claim elements and separates them from the rest of the document. This segmentation allows the system to focus analysis on specific claim components and their mapping to product features, providing detailed information about individual claim elements rather than treating the entire document as a monolithic unit.
Solution Approach 2:
The system transforms the traditional two-dimensional text-based search results into a multi-dimensional structure that includes claim element mappings, product feature associations, and relevance scores. This dimensional expansion provides rich detailed information about each result's relationship to the searched product features.
3Quantity of substance
If large volumes of patent documents are reviewed manually, then comprehensive search results can be obtained, but quick relevancy determination becomes difficult
Solution Approach 1:
The system performs self-service analysis by automatically evaluating patent claims against product features without requiring manual intervention. The claim mapping modules independently process each claim, extract relevant information, and determine relevance to the searched product features, eliminating the need for manual review of large document volumes.
Solution Approach 2:
The system changes the parameters of patent data from unstructured text to structured mapped data. By transforming claims into mapped claim elements with associated product features and relevance scores, the system enables rapid computational evaluation of large volumes of patents while maintaining comprehensive search coverage.
Data Source
AI summary
A system and computer implemented method are provided. The method comprises maintaining a database of patent portfolios and a database of patents, with each patent stored in the database of patents being associated with one or more patent portfolios stored in the database of patent portfolios. The method includes receiving a search query associated with a first patent portfolio; searching the first portfolio as a function of the search query; generating a seed set of search results including one or more patent claims associated with the search query, the patent claims including terms from the search query; automatically generating an expanded set of search results including one or more patent claims further associated with the search query or associated with the patent claims in the seed set of search results; and mapping the one or more patent claims to a patent concept.