Forward Rejection Analysis
$295
About the Course
Forward Rejection Analysis is a unique and powerful tool for assessing patent strength. This methodology indicates the extent to which a patent or patent portfolio blocks
competitors from receiving patents in a similar space.
The more competitors blocked — and the more assertively they prosecute their patents — the stronger the subject patents are deemed to be. This webinar demonstrates the power
of Forward Rejection Analysis by reviewing iRobot’s patent portfolio.
Forward Rejection Analysis is a compelling tool for:
- •Assessing patent value
- •Detecting infringement
- •Conducting competitive intelligence
- •Identifying patents to acquire
- •Deciding whether or not to pay maintenance fees
The following metrics are reviewed in demonstrating Forward Rejection Analysis:
- •Patent portfolio size
- •Number of backward novelty and obviousness rejections
- •Number of forward novelty and obviousness rejections
- •Incidence of specific competitors blocked from filing similar patents
- •Incidence of patent blockage by art class
- •Current status of blocked patent applications
- •Order of patent blockage in office actions
- •Whether the office action was final or non-final
- •Rejection types relative to each blocked patent
- •Hierarchy of obviousness rejections
- •The extent to which competing patents are abandoned or amend their claims
Listeners will receive a 134-page report demonstrating Forward Rejection Analysis as
applied to the iRobot patent portfolio, along with an Excel worksheet to categorize
and prioritize findings.
Course Leader
Michael W. Caldwell, President & Co-Founder, Patent River
Prior to founding Patent River, Mr. Caldwell practiced as a patent agent for ten years, managing prosecution of more than 50 domestic patents and over 100 foreign applications across Europe, China, Japan, Korea, India, and Israel.
He has held senior executive roles with profit-and-loss responsibility for $100 million business units at Zilog and National Semiconductor and previously founded Display Network.
Course Length
Approx. 1.5 hours
Pricing
$295 per user