Quality and Validity Assessment in Intellectual Property

Improved computer system and method for identifying, evaluating, and protecting inventions that arise from research and development projects. The system uses machine learning and artificial intelligence to score and track aspects of the invention disclosure and patent filing process. It identifies and tracks invention types, problems, solutions, embodiments, portfolios, challenges, concepts, and decisions. The system also scores the quality of patent prosecution and analyzes the likelihood of patent issuance.

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Enhancing patent searching and analysis using AI, specifically natural language understanding (NLU) and machine learning (ML) techniques, to improve accuracy and avoid missing relevant patents. This method involves analyzing patent claims and relevant text from reference documents using AI to understand the meaning of claim elements. The AI system then searches for matches and ranks patents based on how well their claims align with the reference document, ensuring more precise and comprehensive search results.

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A decentralized platform for evaluating and managing patent risk using blockchain technology. This platform offers customized insurance policies to cover the risk of patent invalidation. It employs data analysis to assess the likelihood of patents being challenged, adjusting policy premiums and limits based on this evaluation. Users can monitor claims and receive payouts if their patents are invalidated. Additionally, the platform supports crowdfunding for patent applications and utilizes blockchain tokens for transactions and rewards, enhancing transparency and security.

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Comparing legal clauses using deep learning to simplify and automate the analysis of legal documents. The comparison involves generating hidden Markov chains for the clauses, comparing corresponding nodes to identify differences, and flagging them if they exceed a threshold.

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Data-driven method to efficiently screen a large number of patent documents for relevancy to a target subject matter using a triage approach. The method involves mapping key concepts from claims of the identified patent pool to quickly screen and rule out irrelevant patents. The concepts marked as "definitely not in target subject matter" are used to eliminate patents without manually reviewing each one.

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Patent evaluation method that leverages natural language processing and complex network algorithms to objectively evaluate the depth and breadth of patented technologies and predict the expected life of patents. The method involves collecting patent documents, generating technical points, clustering patents into global industries, and comparing patents with technologies in the global industry to evaluate their value.

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Performing credit evaluation on copyright users using a blockchain to create an open and credible system. It involves adding a copyright credit score to each user in the blockchain. If a user initiates an illegal copyright usage event, their credit score is deducted through consensus verification by other nodes. This reflects their lower credibility and restricts further actions. The decentralized and tamper-proof blockchain ensures accurate credit evaluation.

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A system for mapping, ranking, and visualizing patents and patent portfolios to analyze patent value, coverage, and related concepts. It uses data structures and analytics to organize patents by concepts like scope, technology category, and ranking. This allows interactive charts to be generated showing relationships between patent claims, concepts, rankings, and metadata like filing date and owner. The system also enables features like automated prior art citation management within portfolios.

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A patent analysis system that calculates scores to determine the quality and value of patents in a way that is both automated and consistent across a large patent portfolio. The system calculates scores for individual claim elements and overall patents and then compares those scores against peer patents to provide rankings.

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Automating the generation of trademark suggestions and evaluating their clearance likelihood to reduce the time and complexity of trademark searches. The method involves allowing users to specify criteria like concept, sentiment, alphabets, industry, etc. that the desired trademark should have. The system then searches databases, applies combination rules, and ranks the results based on proximity to the criteria and clearance likelihood. The ranked suggestions are provided to the user who can refine the search iteratively.

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Evaluation of the exclusive power of a patent by quantifying the extent to which the patent obstructs third-party businesses. The calculation apparatus extracts legal procedure data from patent histories to determine how obstructive the patent was to third parties and then calculates a post-obsolescence cost based on the filing date. The total post-obsolescence costs across all extracted patents provide an evaluation of patent power.

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Patent evaluation system that determines patentability of an invention idea. The system uses an automated process to compare an invention sentence with existing patent sentences using an edit distance measure. The comparison looks for similar sentences in a patent sentence database. The determination of patentability is based on multiplying the reciprocal of the edit distance with the length index of the invention sentence and a content rate of the keyword.

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Leveraging structural equation modeling to evaluate the quality and value of patents. The method involves generating an evaluation model using statistical analysis to determine the factors and weights that impact patent quality. The model is built by surveying experts to rate the importance of various factors. It then uses structural equation modeling to analyze the relationships between these factors and build an evaluation model. This model can be used to evaluate patents by inputting their data.

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An apparatus and method for evaluating patent power using patent history data. The invention extracts legal procedure data from patent histories and calculates a post-obsolescence cost based on the procedures performed by third parties like requests for inspection or invalidation trials. The extracted procedures are matched to costs in a table. Post-obsolescence costs are calculated based on the filing date, procedure dates, and obsolescence functions for the technical field. Totaling the costs provides an evaluation of the patent's power.

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System for performing patentability searches and analysis using machine learning and pre-filing analysis to improve patent quality and success rates for inventors. The system allows users to submit concept descriptions, claim terms, or draft patent applications for analysis. It conducts searches of patent and non-patent literature databases, identifies relevant prior art, and provides results to the user. The system also identifies the likely patent examiner and art unit for the application and considers frequently cited references.

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An internet-based system for promoting and offering for sale or license PCT and national patent application rights. The system uses an interactive website with a searchable database of patent applications. Users can search for and view posted patent applications for sale or license. Patent applicants can post their own applications for sale or license. The website provides links to the actual patent applications and search reports to help buyers assess the value.

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