How AI-Enabled Patent Platforms Can Cut Patent Infringement Detection Costs by Tens of Thousands of Dollars

Whether you’re part of a IP team at a law firm or within in-house counsel, the reality is the same: patent infringement searches, workflows, or processes can take days or even weeks to complete. Patent infringement detection is a critical yet costly and time-consuming process. Not only do these processes require considerable legal resources, but they may often involve outsourcing, which adds to the financial burden.

These inefficiencies take time away from tasks that truly require an attorney’s expertise and attention. With high costs and extended timelines, it’s clear that there’s room for improvement. This is a shared challenge among many legal professionals, but fortunately, solutions are emerging with AI-enable tooling that helps augment attorneys' work to help reduce cycle times, increase margins, and deliver winning IP outcomes.

Why AI is Necessary

Traditional methods of infringement detection may work and suffice for now, but they are neither efficient nor cost-effective. These manual processes are not only tedious but can also be problematic, as they can lead to delayed responses and missed opportunities. In today’s competitive legal landscape, teams who fail to adopt AI may find themself unable to keep up with competing firms or in-house teams. As Krish Gupta, SVP Litigation & Intellectual Property at Dell emphasized at the Intellectual Property Owners Association Annual Meeting 2025, it’s not people who will lose their jobs to AI, it’s the people that don’t adopt AI who will be replaced by people who do utilize AI.

Take one in-house team for example: Abnormal Security. A leading email and cloud security provider to Fortune 500 companies. Abnormal Security found themselves in a tricky situation: they possessed a large portfolio of intellectual property, so large that it became difficult to keep track of each patent. As Kenneth Jenq, Director of IP and Litigation for Abnormal Security, explains, “We had so many patents, and we struggled to determine what or who they covered. That makes patents hard to defend, which in turn lowers the value of patents.” When Jenq’s company theoretically found out a competitor had a patent under view, they could spend $20,000 to $50,000 investigating potentially infringing technology without any guarantee of a result. Many who have worked with a company or client in a similar portfolio management situation have experienced this issue. Thousands of dollars spent over weeks or months waiting to find out that an invention cannot be patented or there is no evidence of an infringer on your patent. That’s why Abnormal Security began searching for alternative options to improve their patent infringement detection.

Emerging Solutions

AI is revolutionizing industries worldwide, and the legal sector is no exception. While people constantly utilize publicly available LLM-based tools, like OpenAI’s ChatGPT, Google’s Gemini, or Anthropic’s Claude in their daily lives, attorneys must do the same in their workspace. For attorneys whose work surrounds patents, this means finding an AI-native platform purpose built for and fine-tuned to the patent and IP lifecycles.

AI-powered patent litigation tools are increasingly becoming a necessity for staying competitive and up to date with the latest technology. These tools are specialized for patent litigation, created by lawyers and engineers who understand the IP space, meaning they are more effective and knowledgeable in the field than general AI legal tools. These AI-powered litigation tools save days if not weeks of work and waiting along with cutting costs by possibly tens of thousands of dollars. While a program works on the more monotonous tasks, attorneys can shift their focus to matters that really require their attention and expertise.

So, after researching their different options, Abnormal Security decided which tool they trusted to help their company succeed: Patlytics.

Why Patlytics?

Firms and in-house teams alike often select Patlytics to help accelerate their patent work, and in the case of Abnormal Security, their infringement work, for three key reasons that set it above other options: advanced AI capabilities, security, and the ability to cover the full patent lifecycle.

Patlytics is an AI-powered end-to-end platform for the entire patent lifecycle. From invention disclosure to infringement detection, from drafting to invalidity analysis, and more — their platform helps firms and in-house teams reduce cycle times, increase margins, and deliver winning IP outcomes.

In the case of companies looking for AI-powered infringement detection, Patlytics’ infringement detection helps to identify potentially infringing or practicing products or processes by comprehensively crawling publicly available evidence of use, analyzing such evidence, and then generating detailed claim charts in view of automatically generated and editable claim construction. Powered by AI, Patlytics helps these teams accelerate what once took days or weeks, delivering actionable results in minutes.

But do note, Patlytics isn’t just a tool for infringement detection—it’s the only AI-powered patent platform on the market offering end-to-end support across the full patent lifecycle. From detection to portfolio management, claim analysis, and litigation preparation, Patlytics streamlines workflows while maintaining accuracy.

‍Conclusion

‍The patent landscape is evolving, and AI is leading the charge. Patlytics is at the forefront of this transformation, offering cutting-edge solutions that streamline all pieces of the patent workflow, including patent infringement detection, all while improving overall efficiency without sacrificing accuracy. AI isn’t a replacement for human skill, but a tool that experts can utilize to turn days of work into just a quick review of a generated product so they can put their effort into matters that require a human’s critical thinking.

Want to learn more about how Patlytics can save you time and reduce costs in your patent workflows? Read the full Abnormal Security case study or book a demo to see the platform in action.