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Besides working with Ambercite, I do some IP management work with clients from time to time. As part of this, we were working with a client a couple of weeks ago who was worried about an Australian patent. This patent had been granted in Australia, and a very similar family member had been granted in the US - with the granted US patent having 30 prior art patent citations, and some non-patent literature. 

In Australia it can be very difficult to invalidate a patent for anything other than lack of novelty. So we needed a single document that disclosed all of the key features of the granted patent.

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Cluster Searching was developed to find similar patents to a single patent,  or a group of patents. This makes it ideal for reviewing what can even be a large portfolio of patents, and doing the likes of:

  • Identifying the most important patents in the portfolio, or;
  • Identifying the owners of the most similar patents -  both large and small companies.

As an example of this, we have looked at the patent portfolio of a well known company - Facebook. The objective of this search was to ask a couple of questions: 

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A company named VOIP-Pal com has sued AT&T, Verizon and Apple for a total of around $7b, claiming infringement of two of their patents:

  • US8542815, filed in November 2007 and with a priority date of 2 November 2006, for Producing routing messages for voice over IP communications 
  • US9179005, filed in August 2013, and with the same priority date and title as above.

 

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Here at Ambercite we develop tools based on citation searching. We believe the right combination of our large database of patents and their citations - and our unique analytics tools can quickly find you similar patents to relevant patents that you already know about.

However in some cases you may not know what the best starting patents are. You may have some concepts, keywords or potential patent owners you are interested, but little more than that. So what can you do?

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Big data is currently a buzz word in the business world, as shown by the Google Trends search shown below:

BigData-seach-analytics.gif

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US6778074 was filed by Cuozzo Speed Technologies back in 2002, and claims a car speedometer which can change colour of its markings depending on the local speed limit, as determined by GPS.

US6778074-picture.gif

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Apple has agreed to pay out $24.9 million to the Dynamic Advances, licensee of US7177798, Natural language interface using constrained intermediate dictionary of results. They allege that Apple infringes with its Siri voice command tool. 

US7177798picture.png

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Type 2 diabetes (too much sugar in the blood) is a disease that is thought to affect 360 million people worldwide, and can shorten life expectancy by 10 years. For this reason the concept of a drug that may help reduce Type 2 diabetes by increasing the amount of sugar removed from the body with urine has great promise. Early results suggest this drug could reduce mortality, blood sugar, blood pressure and even help with weight loss. 

This drug is “Jardiance” (technical name of empagliflozin) and known to be a “SGLT2 inhibitor”. This is the third known such inhibitor, along with “Invokana” (canagliflozin) and "Forxiga" (dapagliflozin). 

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"Biodesign - The process of Innovating Medical Technologies" is recognised as a seminal work in the world of medical technologies, and is written by the staff af the Stanford Biodesign team.   

Biodesign_Book-Cover.gif

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There is no such thing as a perfect search query, no matter how you do this. For example keyword or class code searches may be limited by incomplete assumptions on the right keywords or class code. For this reason we developed Cluster Searching; to use the collective intelligence of 150 million patent citations to help you find the most important or similar patents, but even this is imperfect. 

For this reason we have long advised using Cluster Searching in an iterative process. To help this, we have recently developed the ability to hide patents you do not want to see from the results, for example patents you have seen before.

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