Intellectual Property Ownership Verification and Dispute Resolution

System for digital property authentication, management, and insurance. The system allows entities to register and protect their trade secrets along with other types of intellectual property by generating obfuscation values from associated documents to establish ownership and credibility. The system includes a registry, insurance, valuation, search, and verification features to enable protection, insuring, and enforcing trade secrets.

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Reducing risk related to the color of title in patent intellectual property assets by providing assurance and insurance coverage through a blockchain-based platform. The platform verifies patent ownership chain-of-title and offers insurance policies to protect against challenges to title validity. It uses AI analysis of prior art and other factors to determine policy premiums and payout amounts. Smart contracts automate claims processing and payouts.

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Using machine learning and mathematical analysis of multiple authorship identification systems to reliably verify or attribute the authorship of written texts. The technique involves using a large number of authorship attribution systems to analyze a document and compile votes for potential authors. Statistical analysis of the vote proportions is then used to determine the most likely author. The innovative analysis can also yield the conclusion that none of the potential authors wrote the document.

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System for registering trade secrets and providing verifiable proof of ownership and possession. The system involves a trade secret registry that allows users to register and manage trade secrets in a way that establishes proof of ownership and credibility. The registry uses obfuscation techniques to generate unique document obfuscation values based on the content of the documents. This allows users to register and verify trade secret documents without revealing their actual contents. The system also provides features like insurance, valuation, searching, and record linkage to support trade secret management.

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A method and system for identifying rights holders and licensing user-generated content like DJ mixes and remixes that sample copyrighted media. The system uses a combination of audio fingerprinting, pattern analysis, and a centralized media content database to accurately identify the original songs used in a mix/remix. It then matches those songs to their copyright holders for licensing and royalty payment.

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A system for registering, insuring, and verifying trade secrets and other intellectual property using obfuscated document data and a blockchain registry. It allows entities to protect and manage trade secrets outside of legal registrations. The system involves obfuscating digital documents representing trade secrets to generate unique document obfuscation values. These obfuscated documents are registered in a blockchain-based trade secret registry that provides a decentralized and tamper-proof record of ownership. The registry can be used to verify registrations, search records, insure trade secrets, and value intellectual property.

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Tracking the copying of printed materials owned by rights holders to detect unauthorized copying and compensate rights holders. It uses image processing to match copies against a database of copyrighted materials. Images from copiers are processed to obtain digital fingerprints that are compared with fingerprints of copyrighted images. Matches indicate copying of copyrighted materials. This enables automated monitoring and enforcement of copying permissions.

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Copyright database and trading platform to resolve copyright challenges by providing a centralized system to find and mediate copyright holders. The database allows copyright holders to upload their works with information and notices attached. It categorizes and organizes the works for easy search and retrieval. The platform also facilitates trading and licensing of copyrights between holders and users. It aims to prevent copyright disputes, enable commercialization of copyrights, and protect creators' rights.

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An apparatus and method for forecasting patent disputes. It extracts keywords from the claims and background of two patent documents and calculates the similarity between them using those keywords. The claim and background similarities are combined to give a cooperative similarity score, which represents the probability that the documents infringe on each other.

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Method to prevent unauthorized replication of copyrighted materials when printing electronic files by analyzing the file for copyrighted content and determining if it can be printed based on the copyright status. The system parses the file for text, images, and formatting indicative of potential copyrighted material. If it finds copyrighted material, it checks if the user is authorized to print it.

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