Intellectual Property Application and Form Filling Guide

A system for generating decentralized applications like smart contracts and legal documents using decentralized identity and data aggregation to improve efficiency and reduce costs in transactions involving assets, services, and contracts. The system uses decentralized identifiers (DIDs) derived from asymmetric key cryptography to identify parties and assets. The DIDs allow peer-to-peer transacting and client-side data aggregation of legal, financial, and/or accounting information. Legal documents are generated using a hybrid approach that combines structured data models with natural language legal prose. The structured data comes from aggregating client-side data associated with the decentralized identifiers.

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Method of drafting a patent application using a computer system and user interface that can display prompts and receive user input. The method involves prompting the user to provide input on elements of the invention. The computer then uses this input to draft at least a portion of the patent application. The user can also indicate if they want to notify third parties.

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A comprehensive web portal for managing intellectual property assets that provides end-to-end support for procuring, valuing, licensing, trading, and monetizing patents and other IPs. The portal analyzes patent applications, manages electronic filing, provides valuation tools, and connects inventors with licensing and sales opportunities.

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Cloud-based system for filing legal documents like patent applications without using attorneys. The system integrates with government offices to enable individuals and organizations to handle simple legal matters themselves. The system provides online tools and instructions to help users correctly file documents and complete official processes.

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Generating accurate text for patent applications by combining natural language processing with structured templating. A system uses natural language understanding (NLU) to parse input text and extract structured components. It then leverages natural language generation (NLG) to generate precise output text using a templating language enhanced with functions that manipulate the text based on the data model. This allows the system to generate patent application sections by extracting claims structures from existing applications and inserting the parts into a claim model data object.

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A system to automatically create patent application templates based on prior art references to reduce the time and expertise needed to draft patent applications. The system parses prior art documents to identify sections related to the invention. It then generates a template patent application by removing claims and sections from the prior art that are not relevant to the invention. The template can be edited by the drafter to insert the novel features of the invention.

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A patent preparation system that captures important information about the relationship among claim limitations to improve patent drafting efficiency. The system allows users to indicate when a dependent claim corresponds to a specific limitation of an independent claim, rather than the entire claim. It stores this relationship data and generates patent application text that reflects the claim structure. This way, claims, drawings, and specifications can be automatically generated and modified with proper claim dependencies to speed up and improve patent preparation.

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Automated computer-based patent application drafting system that provides a user interface to input invention features, system components, figures, and acronyms. It uses this data to generate patent application documents like specifications, claims, and figures. The system leverages natural language processing, tree structures, templates, and editing functions to automate and streamline the patent drafting process.

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Using AI to automatically generate patent applications from seed sentences, can reduce the time and effort required compared to manual drafting. The system involves tokenizing seed sentences and converting them into vectors. These vectors are then used as input to a sequence generation model that outputs new vectors. The output vectors are converted back into tokens to form the generated document. By providing seed sentences, the system learns the structure and content of a patent application and can generate new applications with similar content and language.

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System for enhancing computer-generated patent applications by providing non-explicit support for individual claim features to make them more robust and comprehensive. It does this by using machine learning to identify and extract explicit and non-explicit support from the patent specifications for aligning to the claims. It then uses this extracted data to train a model that can generate new non-explicit support statements for previously unseen claim features. The generated support statements can be inserted into draft patent applications to improve their quality and completeness.

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Streamlining the patent application drafting process by using artificial intelligence (AI) to automatically generate patent applications. The system receives information about an invention and prior art, analyzes it, determines patentability, and generates the application sections. The AI learns user drafting style over time for personalized output, and can also be trained on drafting guidelines.

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Streamlining the collection and population of legal forms between clients and legal professionals to enable a more efficient and secure way to submit legal information for legal services. The method involves allowing clients to access editable legal disclosure forms through a centralized server, fill them out with personal and legal information, and submit them electronically. Legal professionals can then access the submitted forms and automatically populate filing forms with the same information but in a format that is easier to review and file with legal entities like courts.

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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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A portal and tools to help inventors and companies navigate the patent process and leverage their intellectual property assets through features like electronic patent filing, automated patent application analysis, IP valuation, licensing and sales.

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