Intellectual Property Idea Evaluation and Refinement Process
3 patents in this list
Updated:
Evaluating intellectual property requires analyzing thousands of existing patents, trademarks, and other IP assets across multiple jurisdictions and time periods. A single invention assessment typically involves reviewing 50-100 closely related patents, analyzing their claims structures, and mapping technical overlap—a process that traditionally takes 15-20 hours of expert review.
The fundamental challenge lies in systematically evaluating novelty and non-obviousness while accounting for the rapid evolution of technology and the growing complexity of prior art.
This page brings together solutions from recent research—including machine learning approaches for patent comparison, automated trademark clearance systems, and AI-powered invention evaluation frameworks. These and other approaches aim to increase evaluation accuracy and reduce assessment time while maintaining the rigorous standards required for IP protection.
1. Computer System with Machine Learning Algorithms for Invention Evaluation and Prioritization
Markison Patent Portal, Inc., 2023
An improved computer for technology that calculates and reports on inventions in order to improve the efficiency and effectiveness of technology innovation and protection. The computer uses machine learning and artificial intelligence programs to identify, evaluate, and prioritize inventions across a range of metrics including commercial potential, patentability, integration opportunities, and competitor targeting.
2. Trademark Suggestion and Clearance Evaluation System with User-Defined Criteria and Iterative Refinement
CORSEARCH, INC., 2021
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.
3. Automated Patent Evaluation System Utilizing Edit Distance-Based Sentence Comparison
AI Samurai Inc., 2020
A patent evaluation system that determines the 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 the content rate of the keyword.
The innovations that provide demonstrate how technology guarantees precise evaluations and informed decisions. Massive volumes of data can be analyzed by AI-powered systems to determine prospective competitors and evaluate market possibilities. Automated solutions for trademark clearance and suggestions can also expedite the registration procedure.
