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Limitations of AI in Patent Searching

While AI has transformed various industries, its application in patent searching has limitations. Initial search results are often inaccurate, requiring human intervention to refine them. Additionally, AI tools often lack access to non-patent literature, posing a risk in comprehensive searches.

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Non-Standard Patent Searches: Exploring Product Identification and Patent Identification Searches

Non-standard patent searches are becoming increasingly important in the world of intellectual property. One type is the Product Identification Search, used when a patent is known, but it’s uncertain if a corresponding product exists. This helps evaluate commercial potential and competition. The Patent Identification Search, on the other hand, determines if a patent protects a known product, aiding in legal risk assessment. Both searches involve utilizing databases, classification codes, and expert guidance to make informed decisions in the complex realm of intellectual property.

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The title (5 Reasons Why Law Firms should Outsource Their Patent Searches) and an image of the word patent.

5 Reasons Why Law Firms Should Outsource Patent Searches for Intellectual Property Protection

An IP law firm must have a deep understanding of the patent process in order to successfully represent inventors who are looking to secure their intellectual property. One critical aspect of the patent process is conducting a patentability search, which is used to help determine if an invention is novel and non-obvious, and if there are any existing patents that may impact the application.

Patent searches can be a time-consuming and complex process, and for this reason, many law firms choose to outsource this task to specialized patent search providers. In this article, we explore the top five reasons why law firms should outsource their patent searches to these providers.

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