AcclaimIP HelpRecent Updates

Recent Updates

  • Updated on: Feb 11, 2022

    Viewing Alert Results

  • Updated on: Feb 10, 2022

    Creating a New Alert

  • Updated on: Feb 10, 2022

    Alerts Overview

  • Updated on: Feb 09, 2022

    Assignee Normalization

    Assignee names in AcclaimIP are normalized.  This means that you can search on one version of a company name such has "IBM" and you'll get an inclusive search including 655 different versions of their name found in the patent database.

    It is almost impossible to make sense of patent data if names are not normalized.

  • Updated on: Feb 07, 2022

    Finding Transacted Patents

    It is important to monitor the patent transaction landscape, and identify companies actively acquiring or divesting from particular patents.

    AcclaimIP includes a filter/facet that identifies patents that have transacted.  If the current and the original assignee do NOT match, AcclaimIP marks the patent as Transacted.  That is, they are different, and therefore likely transacted.

  • Updated on: Feb 07, 2022

    Searching the Patent Assignee Field

    This is one of the more complex "fields" in patent searching.  AcclaimIP uses a total of nine (9) assignee name fields to keep everything straight and also give you the power you need to efficiently search assignee names.  This article is designed to give you a quick start.  More details on Assignee Name searching can be found in our Advanced Syntax section.

  • Updated on: Feb 04, 2022

    Classification Searching with Keywords

    The best searches will use both classification searches AND keyword searches together.  Let's examine how you might approach a patent search.  

    Our Invention:

    Let's say we want to find patents related to location-based monitoring and messaging.  The invention in question uses the cellular network, or other network like GPS, to find your location and compare it to a map, as well as a set of your personal preferences located on some server.  The method then notifies you of sales and promotions within a 5 minute walk or drive from your current location.  The invention has to know if you are walking or driving based on average speeds you are moving.  A five minute drive could translate into an hour walk, and who wants to walk an hour to save 25 cents on a Starbucks coffee (OK, you're never more than a 5 minute walk from a Starbucks.  Bad example.)  So that is the basic invention.

  • Updated on: Feb 04, 2022

    Classification Searching Overview

    When patents are examined in patent offices around the world a special group of patent classifiers as well as the examiners classify the patents.  They do a remarkable job in my opinion.  Classification searching is the best, and really only way, to do a credible job of isolating technologies for patent landscapes and comparing two portfolios without doing extensive manual classification yourself.  I'll just say it, a lot of patent search professionals don't trust, don't like and rarely use classification searching.  While I think it is a big mistake, I understand it.  Classification analysis is not handled well in other tools that I have seen.

    Clearly, all patents are not classified perfectly, and some patents aren't classified at all and dumped into catch-all classes, such as the 1/1 class in the US Classification system.  But with the vagaries of human language it is your best bet.

    AcclaimIP handles classification in very powerful ways as will be explained in this and other chapters of the Help Manual.

  • Updated on: Feb 03, 2022


    Document clustering is a technique for organizing text documents into clearly labeled thematic folders without the need for an external knowledge base such as a categorization or classification system.

    Some of the benefits of document clustering include:

    • Quick overview of a document set summarizing import subjects, concepts and themes.
    • Fast navigation to relevant documents in your search results.
    • Query refinement:  Many of the themes discovered by clustering will become keywords in your regular searches.

    AcclaimIP clusters up to 1000 documents at a time.  While you can cluster any set, you'll get more useful results if you first narrow down your search results using classification and keyword queries so that the patents broadly cover the same topic.

  • Updated on: Feb 03, 2022

    Advanced Keyword Searching

    When searching for patents, it is important to pick the best keywords that will select for the patents you want to find.  The terms found in these patents may not be obvious, so you'll have to go through an iterative process to identify key terms found in patents you want to isolate.  For these reasons, AcclaimIP includes several powerful tools to help you analyze patent keywords which are discussed later in this chapter.

    What do patents read on?

    You'll find that the vast majority of patents don't read on devices or products such as endoscopes, mobile phones, laser printers or light bulbs per se.  In general, patents also don't even read on components of devices such as touch screens, microprocessors, cameras and fusers, but rather they tend to read on features of components of devices.  This distinction is important because you will likely get better more targeted results if you focus on a single feature at a time.

    A good search strategy will focus keywords at the feature level or possibly the component level, and not on the device level.  AcclaimIP provides a multi-tier matrix query feature which will help you roll-up your feature and component level queries to the device or even product class level.