{"id":18429,"date":"2021-09-07T01:02:00","date_gmt":"2021-09-07T01:02:00","guid":{"rendered":"https:\/\/sagaciousresearch.com\/blog\/?p=18429"},"modified":"2023-04-03T11:23:56","modified_gmt":"2023-04-03T11:23:56","slug":"has-ai-taken-over-manual-patent-searching","status":"publish","type":"post","link":"https:\/\/sagaciousresearch.com\/blog\/has-ai-taken-over-manual-patent-searching","title":{"rendered":"Has AI taken over Manual Patent Searching in 2021?"},"content":{"rendered":"\n

With the forecasted growth<\/a> of global Artificial Intelligence (AI) market size, it is evident that AI is quickly becoming the solution to most of the software and service needs. AI has even infiltrated our homes, wherein, we are increasingly seeing smart home systems that incorporate Internet of Things (IoT) technology along with a master AI virtual assistant.<\/p>\n\n\n\n

Undoubtedly, the technology has made space in the intellectual property-based service sector as well. For instance, to support patent searching, there are quite a few AI-based automated patent search tools<\/a> available. Although many of these are still in their training stage, these tools are likely to mature. Thereafter, the question that would loom over innovators is: \u201cwhether to avail affordable AI patent search tools or invest in outsourced manual patentability searches?\u201d<\/p>\n\n\n\n

With AI-based patent search tools being available on subscription-based models at affordable prices,  the dilemma mentioned above becomes even more persistent. So, although AI-based patent search tools are agile and user-friendly, they can be integrated with manual searches conducted by experienced analysts, for obtaining better results. The following article draws a comparison between both and defines scenarios where these models can be deployed.<\/p>\n\n\n\n

\n

Table of Contents<\/p>\n