Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

Login

|

Patent Infringement Risk Exposure Analysis

Fadi Micaelian
Intellectual Ventures, Portfolio Architect MountainView, CA, USA

Matt Huey
Intellectual Ventures, Intern, Santa Clara, CA, USA

Richard Schank
Intellectual Ventures, Head, Pricing and Portfolio Analytics, Mountain View, CA, USA

Sanjay Prasad
Intellectual Ventures, Client Account Executive, Mountain View, CA, USA

This paper analyses a company’s overall exposure to patent infringement actions. While companies currently assess their risk mainly by evaluating the strength of their portfolio in certain key class codes, often referred to as heat-mapping, this paper advocates an approach that considers a statistical perspective to patent infringement litigation outcome. The rationale behind this work is that, on an aggregate basis, litigation outcome encapsulates all the factors that affect the exposure of an entity. In order to characterize this exposure we have attempted to develop some metrics around the size of the company–expressed in annual revenue. Largely based on this determination, a web application has been developed to allow users to determine several key characteristics of risk by entering basic company information. This paper explains the assumptions, determinations and applications of this analysis and is focused mainly on patent litigation occurring within the software industry.

Latest