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Method and system for rating patents and other intangible assets

Patent 6556992 Issued on April 29, 2003. Estimated Expiration Date: Icon_subject September 14, 2020. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

Patent References

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Inventors

Assignee

Application

No. 661765 filed on 09/14/2000

US Classes:

707/6, Pattern matching access707/7Sorting

Examiners

Primary: Shah, Sanjiv

Foreign Patent References

  • 2002/0002524 Kossovsky et al. 01/11/2012
  • 2002/0004775 Kossovsky et al. 01/11/2012
  • 2002/0022974 Lindh. 02/11/2012
  • 2002/0035499 Germeraad et al. 03/11/2012
  • 2002/0046038 Prokoski. 04/11/2012
  • 2002/0077835 Hagelin. 06/11/2012
  • 2002/0087422 Reader. 07/11/2012
  • 2002/0099638 Wilkenson et al. 07/11/2012
  • 1 215 599 EP. 06/11/2012
  • WO 00/75851 WO. 12/11/2012
  • WO 01/35277 WO. 05/11/2012

International Class

G06F 017/30

Abstract

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.

Other References

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