Artificial Intelligence for Patents: How AI is Redefining Innovation Intelligence

As Questel Subject Matter Expert Jens Schlehahn discusses in our on-demand webinar "Are You Innovating Blind? What Patent Data Reveals That You’re Missing," access to accurate and comprehensive patent data is vital to informing innovation decisions, since it provides visibility into existing technical solutions and helps organizations avoid unknowingly reinventing the wheel or investing heavily in already crowded technological landscapes.   

Historically, this data has been gatekept by complexity, requiring specialists with knowledge of intricate Boolean query building and legal terminology. Fortunately, dedicated artificial intelligence (AI) solutions for patent search and analysis are now removing these barriers, making technical foresight accessible at the earliest stages of innovation. By dismantling traditional barriers to complex patent information, dedicated AI solutions for patent research, such as our AI Agent Sophia, are already transforming what was once the exclusive domain of specialists into a source of intelligence exploitable by everyone from engineers to R&D directors.  

Questel's AI Agent Sophia was developed specifically to help IP and R&D teams facilitate rapid, accurate, and comprehensive patent research. To see its features in action, let's take an example of an invention for a heated shoe: 

The traditional route when searching for prior art related to inventions, such as this heated shoe, requires users to gather all relevant facts, build complex search queries, review findings for relevancy, and analyze references before compiling a final search report. Our AI Agent substantially speeds up that process through two purpose-built features: Sophia Search for semantic search and Sophia Query for natural language search query building. 

Sophia Search is an AI-powered patent semantic search tool that uses natural language and advanced neural embeddings to extract features disclosed in a user's input and patent full text based on conceptual similarity as well as exact terminology. By capturing intent and meaning, it delivers higher recall with significantly less trial and error. 

In our scenario, the user provides input to Sophia Search, using our Sources Assistant, which enables the upload of multiple documents, such as invention disclosures or even prototype images. The AI performs an image-to-text analysis, distilling visual data into an exhaustive technical description optimized for searching. This capability ensures that R&D teams can validate a visual concept before a single line of a formal disclosure is even written. 

Sophia Query is an AI chatbot assistant, trained to take natural language instructions and turn them into a Boolean patent search query. Simply describe a concept using text or voice-to-text commands, and the assistant automatically expands the request with technical synonyms and IPC/CPC classes to jumpstart the search query creation phase. 

Returning to our scenario of the heated shoe, let's see how Sophia Query supports users to understand the competitive landscape around their inventions.  

Again, the traditional process here would be to gather all relevant facts, build complex search queries, review findings for relevancy, and analyze references before compiling a final search report. With Sophia Query and Orbit Intelligence, users can dramatically expedite the search query building, review, and analysis process. 

• Simply instruct your digital assistant to get started 
• Synonyms, classes and other restrictions will be automatically combined into the query 
• Modify your search manually or request modifications via the chat box 
• Once satisfied, execute the search and start reviewing the results 
• Transfer the results using the built-in analytics module to make the results explorable in Orbit Intelligence 

Orbit Intelligence provides the perfect platform to take patent landscape analysis one step further. The IP business intelligence tool delivers both "big picture" insights (legal status, investment trends, top players, player comparisons, and market coverage) and detailed patent search analytics.  

Returning to our scenario of the heated shoe, we can see the platform offers some critical and strategic knowledge: 

Innovation decisions are stronger when patent data is part of the picture, but until recently many R&D and IP teams did not have access to vital patent datasets, or the knowledge to search and analyze them effectively. 

From insights into early technical solutions to competitor activity, technology maturity, and risk, our Orbit Intelligence search and analytics platform and dedicated AI Agent Sophia make it possible for all stakeholders to access valuable information that appears in patents first. 

By removing the need for Boolean logic, AI has removed the traditional barriers to patent search, with semantic search, natural language query building, and automation making patent insights more accessible than ever before. 

To find out how to use patent data in your innovation strategy, watch our webinar "Are You Innovating Blind? What Patent Data Reveals That You’re Missing," or contact our subject matter experts for a demo of Orbit Intelligence and our AI Agent Sophia.