You wouldn’t use a Swiss Army knife to perform surgery. Yet, that’s what many organizations are doing when they rely on general-purpose AI solutions for domain-specific problems.
That’s why we haven’t been surprised to see the ways AI has been challenged in the legal space over the past month. In quick succession, one MIT report found that 95% of generative AI pilots are failing to deliver ROI, and a leading legal AI platform was publicly criticized for a lack of accuracy, prompting folks to criticize the massive sums of capital they’ve raised.
We want to take this opportunity to address how we, as an AI tool built by IP professionals, for IP professionals, are providing real, measurable value to our clients. At NLPatent, we believe that enterprise AI shouldn’t just be a shiny tool; it should seamlessly fit into your workflow and reflect how you work, think, and make decisions. In a field like patent practice, where precision isn’t optional, we’ve built a platform engineered specifically for patent certainty, not a generic AI with “IP” bolted on as an afterthought.
That begins with how we started our business and it carries into everything we do as a company.
NLPatent’s commitment to legal rigor starts with our origin story. Our CEO, Stephanie Curcio, is one of the top global authorities at the intersection of AI & IP. She started NLPatent based on firsthand experience as a practicing attorney and that expertise extends to our team, who combines deep domain-specific expertise with technical excellence. We understand the risks of bad data and unreliable outputs because we’ve lived them, and that’s why we’ve put so much care into NLPatent: to ensure we can deliver results that patent professionals can trust.
Unlike black-box AI tools that “hallucinate” or return unsubstantiated results, NLPatent is engineered for accuracy, explainability, and reliability. Every result comes with context and transparency so users know why it was retrieved — because getting it wrong at the research stage will cause all downstream work product to be incomplete, improperly scoped, or plain inaccurate
Time is precious—but accuracy is paramount. In patent practice, mistakes are expensive. A false positive can derail an R&D program or bankrupt an organization in litigation, and a false negative can expose a company to infringement risk. That’s why NLPatent delivers structured, explainable, and context-rich results, not just a list of hits. Every insight is designed to help professionals make confident, defensible decisions.
With NLPatent, IP and R&D teams can move from idea to insight in minutes, not hours. Our platform enables patentability, FTO, invalidity, and claim scope analyses with speed and confidence. Search is as simple as typing in plain English, but the results are legally rigorous and structured so professionals can act decisively. Clients report ~90% time savings per project and over 3.5 hours saved per search compared to traditional tools, all without compromising on quality.
This is AI that doesn’t just sound good in a demo, it drives measurable ROI every single day.
In IP, workflows aren’t arbitrary, they’re carefully designed to balance risk, compliance, and commercial strategy. Too many “disruptive” tools force professionals to work around the technology instead of with it.
NLPatent takes the opposite approach: we integrate seamlessly into existing processes, automating the steps that make sense and keeping users in control where human judgment is critical. The result is a solution that feels intuitive, reduces friction, and enhances decision-making rather than derailing it.
There is a lot of AI noise in the market today and it’s never been more critical for patent professionals to be discerning about the solutions they explore. Patent teams need solutions that are reliable, built for the way they work, and deliver measurable outcomes, not just exploratory pilots.
As a platform built by practitioners, for practitioners, NLPatent is proud to be delivering on that promise. We’re not a Swiss Army knife, we’re a precision tool — helping IP teams modernize their approach to patent intelligence by saving time, reducing costs, and improving confidence.
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