METHOD AND SYSTEM FOR RATING PATENTS ANF OTHER INTANGIBLE ASSETS

Patent №

US 6,556,992

Granted

2003-04-29

Filed 2000

Owner

PATENTRATINGS, LLC

Lab

AI components

5

ml · kr · planning · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09661765

A statistical patent rating method and system is provided for independently assessing the relative breadth (“B”), defensibility (“D”) and commercial relevance (“R”) of individual patent assets and other intangible intellectual property assets. The invention provides new and valuable information that can be used by patent valuation experts, investment advisors, economists and others to help guide future patent investment decisions, licensing programs, patent appraisals, tax valuations, transfer pricing, economic forecasting and planning, and even mediation and/or settlement of patent litigation lawsuits. In one embodiment the invention provides a statistically-based patent rating method and system whereby relative ratings or rankings are generated using a database of patent information by identifying and comparing various characteristics of each individual patent to a statistically determined distribution of the same characteristics within a given patent population. For example, a first population of patents having a known relatively high intrinsic value or quality (e.g. successfully litigated patents) is compared to a second population of patents having a known relatively low intrinsic value or quality (e.g. unsuccessfully litigated patents). Based on a statistical comparison of the two populations, certain characteristics are identified as being more prevalent or more pronounced in one population group or the other to a statistically significant degree. Multiple such statistical comparisons are used to construct and optimize a computer model or computer algorithm that can then be used to predict and/or provide statistically-accurate probabilities of a desired value or quality being present or a future event occurring, given the identified characteristics of an individual patent or group of patents.

Machine learningKnowledge representationPlanningEvolutionary computationAI hardwareG06Q 99/00G06Q 10/10G06Q 30/0202G06Q 40/06G06Q 50/184Y10S 707/93Y10S 707/99936Y10S 707/99937

AI classification

Planning1.00
Evolutionary computation1.00
Machine learning0.96
AI hardware0.95
Knowledge representation0.87
Natural language0.03
Vision0.00
Speech0.00

Ownership

PATENTRATINGS, LLC

assignment · 137830581

Assignors

BARNEY, JONATHAN A., BARNEY, JAMES R.

On an employer assignment, the assignors are typically the inventors.

From the same owner

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