Latest Articles & Insights

Kicking Off 2026 at CES: What NLPatent Learned as First-Time Attendees

Six takeaways from NLPatent's first CES: saturated categories, global competition, shrinking differentiation, and why IP is now core to business strategy.

NLPatent Launches Non-Patent Literature Search With Access to 160M+ Documents

NLPatent users can now search 160M+ journals, standards, dissertations, and reports side by side with patents in one prior art workflow.

Counting ROI or Chasing Hype: Stephanie Curcio on the True Test of AI in Patents

Stephanie Curcio Recognized in IAM Strategy 300 Global Leaders 2026

Choosing the Right AI for the Right Problem

Why generic AI misses the mark in patent work, and how a purpose-built platform delivers explainable results and roughly 90% time savings per project.

NLPatent Secures $3M to Help Patent Professionals Work Smarter, Faster, and with Greater Confidence

Draper Associates and Mighty Capital co-lead a $3M round to fund NLPatent's agentic platform for completing, not just supporting, patent workflows.

Introducing NLPatent Visualize

NLPatent Visualize turns any search or portfolio into an AI-generated topic map, surfacing white space, competitor clusters, and trends in seconds.

Say Hello to Ask NLPatent: Your AI Patent Sidekick

Ask NLPatent lets you chat with any patent document, while Bulk Ask runs one natural-language question across your entire result set at once.

How NLPatent Was Used to Patent NLPatent

The story of how Potter Clarkson attorney Angus Gledhill used NLPatent itself to run prior art and draft the claims for NLPatent's own patent application.

AI, Data, and the Enlightenment Era of IP Strategy

IP strategy is shifting from filing volume to AI-driven analysis, and the quality of those insights depends on how complete and structured the underlying data is.

The End of the Keyword Era (Kinda)

Why keyword search still wins in some cases but breaks on patent language, and why true semantic search must be built from the ground up.

Reinventing IP Workflow Without Reinventing the Wheel

Automation fails in patent work when it ignores how professionals actually work. Where AI adds value, and where domain expertise separates real tools from noise.