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American Focus > Blog > Tech and Science > IP Copilot wants to use AI to turn your Slack messages into patents
Tech and Science

IP Copilot wants to use AI to turn your Slack messages into patents

Last updated: December 13, 2024 1:02 am
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IP Copilot wants to use AI to turn your Slack messages into patents
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IP Copilot, a startup leveraging artificial intelligence to revolutionize intellectual property management, has secured $4.2 million in seed funding. The funding round was led by Salesforce Ventures and Preface Ventures, with additional participation from NextGen Ventures and Notation.





Headquartered in Tennessee, IP Copilot was founded by AI experts boasting a collective portfolio of over 1,000 patents. The company’s mission is to enhance the process of discovering and safeguarding innovative concepts within enterprises by analyzing internal communications and documents in real-time.





CEO of IP Copilot, Austin Walters, stated in an interview with VentureBeat, “Everyone is an inventor. Engineers are increasingly busy, and our aim is to reduce obstacles between ideas and patents, enabling more innovators to become inventors.”





Unlike existing AI tools that focus on patent drafting, IP Copilot places emphasis on early discovery by seamlessly integrating with platforms like Slack and Jira to identify potentially patentable ideas as they surface in day-to-day work conversations.





Enhancing IP Legal Teams’ Workflow with AI





“In a large company, an IP counsel may be responsible for overseeing 10,000 employees. It’s impossible to manually review all the communication channels like Slack, Jira tickets, and Confluence pages,” explained Jason Harrier, who recently joined IP Copilot as founder and general counsel. “Our tool equips patent teams with the ability to effectively review all available information and automatically categorize the most promising patent candidates.”





IP Copilot’s methodology combines traditional machine learning with advanced language models, prioritizing accuracy over complete automation. Harrier mentioned, “Approximately 60% of our approach is traditional machine learning. We leverage the strengths of AI and large language models where they excel the most.”

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To address privacy concerns, the system only monitors public channels and can be deployed within an enterprise’s internal cloud environment. Walters emphasized, “Our system operates as a first-party solution, ensuring that no communications are shared with third parties.”





AI Transformation in Enterprise IP Management





The funding injection arrives at a crucial juncture for enterprise IP management as companies grapple with effectively identifying and safeguarding intellectual property amidst the rapid pace of AI innovation. While many AI startups in the sector focus on automating patent drafting, IP Copilot’s emphasis on early discovery has the potential to reshape how companies build their patent portfolios.





The startup’s future plans indicate broader aspirations, including venturing into trade secret management and introducing natural language interfaces for portfolio analysis. These strategic moves position IP Copilot to evolve into a comprehensive IP intelligence platform rather than just another legal tech tool.





However, the most notable innovation from IP Copilot isn’t technological but philosophical. In a realm inundated with AI companies promising to replace human expertise, IP Copilot takes a different stance. Harrier affirms, “AI won’t take your job, but an attorney utilizing AI could outperform you.”





For patent professionals observing the AI revolution unfold, this distinction could prove pivotal in navigating the evolving landscape.


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