AI Invention Disclosure Workflow for Faster Patentability Review
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Solution Overview
Problem
Current methods for patenting and IP protection filing are painfully slow and inefficient, overwhelming IP law firms and corporate counsels, necessitating a smart software solution to streamline the process.
Innovation Solution
The Inventor Disclosure Recording and Reporting (IDRR) System leverages AI, ML, and NLP technology, combined with cloud computing, to assist inventors by recording, analyzing, and reporting invention disclosures, including drafting provisional and non-provisional patent applications, and providing patent monetization and portfolio management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional manual patent filing methods are used, then accuracy and thoroughness of patent analysis is maintained, but processing time and cost increase significantly
Solution Approach 1:
The patent replaces manual mechanical analysis processes with an automated AI-based system that uses machine learning models to analyze invention disclosures, search prior art, and draft patent applications. The system substitutes human intellectual labor with computational algorithms that can process information rapidly and consistently.
Solution Approach 2:
The system enables self-service patent filing by allowing inventors to input their disclosures and receiving automated analysis, prior art searches, and draft applications without requiring professional patent attorneys or agents. The automated system performs the entire patent preparation process independently.
2Productivity
If AI automation is introduced to speed up patent processing, then processing time is reduced, but system complexity increases
Solution Approach 1:
The patent divides the complex patent processing task into separate modular components: invention disclosure input, AI-based analysis module, prior art search module, patentability assessment module, and draft application generation module. Each component handles a specific function independently, making the overall complex system manageable through functional decomposition.
Solution Approach 2:
The system introduces an intermediary AI analysis layer between the inventor's raw disclosure and the final patent application draft. This intermediary layer processes and transforms the input information through multiple analytical steps, acting as a mediator that simplifies the interaction between complex components.
3Measurement precision
If comprehensive patent analysis is performed manually, then accuracy of patentability assessment is maintained, but cost and time consumption increase
Solution Approach 1:
The patent replaces manual legal analysis with AI-based computational analysis that uses machine learning models trained on patent data to assess patentability. The system automatically evaluates invention disclosures against prior art and legal criteria, maintaining accuracy while dramatically reducing time consumption.
Solution Approach 2:
The system incorporates feedback mechanisms where the AI analysis results are reviewed and refined through iterative processes. The patentability assessment receives feedback from the analysis of prior art and can adjust its conclusions, ensuring accuracy through continuous refinement of the assessment based on comprehensive data review.
Data Source
AI summary
An inventor disclosure recording and reporting system and method. The system includes a digital framework configured to perform a cost saving or a time saving task for an inventor. The digital framework includes a data services module configured to record, store, process and report data related to an invention disclosure of an inventor. The digital framework also includes an ideation and patentability module configured to compare and contrast the data with prior information available from a pre-existing knowledgebase, and report at least one of a similarity status, an obviousness status, and a patentability status of the invention disclosure. The digital framework further includes a provisional patent filing module configured to draft a paper copy and a digital copy of a provisional patent application related to the invention disclosure, based on at least one of the similarity status, the obviousness status, and the patentability status of the invention disclosure. The digital framework also includes a non-provisional patent filing assistance module configured to draft a paper copy and a digital copy of a non-provisional patent application related to the invention disclosure, based on at least one of the similarity status, the obviousness status, and the patentability status of the invention disclosure. The digital framework further includes a patent monetization aid module configured to compute and report a financial currency converted value of the invention disclosure, based on at least one of the similarity status, the obviousness status, and the patentability status of the invention disclosure. The digital framework also includes a patent obsolescence planning module configured to analyze, compute and report a plurality of future states of a subject matter described in the invention disclosure and a patent portfolio management module configured to analyze, compute and report a plurality of portfolio jurisdictions related to each of the future states of the subject matter described in the invention disclosure.