Putting AI to Work in Invention Disclosures: Benefits, Limits, and Lessons Learned

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Dr. Eberhard Heinz of Mercedes-Benz shares practical insights from applying AI to invention disclosures, drawing on more than 30 years of experience in patent information and IP intelligence.

Dr. Eberhard Heinz of Mercedes-Benz shares practical insights from applying AI to invention disclosures, drawing on more than 30 years of experience in patent information and IP intelligence.

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Improving Invention Disclosure Quality with AI at Mercedes-Benz

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Inventors bring their creative ideas to life before submitting an invention disclosure through the Mercedes-Benz inventor portal. But with the rise of AI, the company began seeing an increase in disclosures that looked polished on the surface yet contained errors, inaccuracies, and AI-generated hallucinations—leaving patent attorneys to spend valuable time correcting and deciphering submissions.

With more than 5,000 invention disclosures submitted each year, Mercedes-Benz needed a way to streamline the process and help its patent attorneys focus on what matters most.

Enter Qthena’s Invention Disclosure skill. By combining automated prior art retrieval with AI-powered guidance for inventors, it acts as a digital assistant throughout the invention disclosure process. Built-in pre-prompting and safeguards ensure that inventors receive the right guidance while maintaining Mercedes-Benz’s standards for disclosure quality, helping them submit stronger disclosures from the start and enabling patent attorneys to work more efficiently.

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Watch the webinar replay to discover how Mercedes-Benz is using AI to optimize invention disclosures, reduce manual effort, and make better use of its patent team’s time.

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