Samir Rayani just returned from a US IP conference where the demo floor looked nothing like the one he walked a year ago in Europe. Nearly every booth was an AI vendor. The legacy players had retreated to bronze sponsorships, replaced by well-funded new entrants, some backed by tens of millions in capital and apparently not shy about spending it. What surprised him most was the velocity: barriers to entry are low, capital is abundant, and customers have largely stopped debating whether to adopt AI. They want it, at scale, and they do not want to build it themselves.

The competitive picture now resembles a classic land grab. Vendors are broadly comparable in what they offer, customers are ready to buy, and execution speed on sales, product, and hiring will determine who surfaces on top. Samir is candid that the capital advantage he had planned to use as a differentiator has been neutralized by how much money has flooded the sector. On the talent side, skilled patent professionals are leaving law firms and joining AI startups across the board, which raises the quality of every serious player in the field and makes coasting on any early lead impossible. The bubble comparison to 1999 does not hold cleanly: every funded company in this space has some revenue, and consolidation is already happening through acquirers like Harvey and Solve Intelligence absorbing players without enough momentum to survive independently.

The more consequential shift is what Samir calls the second-order effects. Claim charts that once required significant billable hours are now generated at scale by AI, flooding the patent licensing market with analysis that previously carried real cost. The economics between licensors and licensees are already moving. Further out, collapsing creation costs in adjacent fields like animated film and commercial content point toward entirely new formats that nobody has predicted yet, the same way nobody predicted TikTok or Uber from the original premise of mobile internet. The first-order disruption is priced in; what reorganizes around it is still open.

Published on Subwave

https://subwave.app/@ipauthor/post/ip-ai-business-landscape--inside-the-ai-patent-vendor-explosion-episode-7

Samir Rayani, founder and CEO of IP Author, walks through insights.ipauthor.com, a new public site built on a straightforward but consequential idea: instead of waiting for users to ask questions, AI agents process every pending U.S. Office Action continuously, build examiner profiles from full prosecution histories, and surface the results as a living dataset anyone can access. The distinction Samir draws is between raw data, human-labeled data, and a third category he calls agent-generated data. The Insights site is IP Author's first major public output in that third category.

The examiner intelligence is where it gets specific. Using a live IBM Office Action as an example, the site surfaces the assigned examiner's grant rate, her lift from interview requests, her history of rejection types, and a ready-to-use strategy recommendation. In this case, a non-statutory double patenting rejection resolved by inserting a cross-reference to a related application section, with all independent claims surviving. The agents had already identified the pattern across similar rejections and generated the fix before the attorney opened the file. Portfolio managers and in-house counsel can also pull company- and law-firm-level views: which Office Actions are pending, which are easiest to overcome, and what the time and cost picture looks like.

Basic access is free, no sign-up required. Deeper analytical results, including full strategy recommendations and risk assessments, are available with an email registration. For teams building internal tools, IP Author offers an MCP server that gives agents from Claude or other platforms direct access to the full dataset. The site is live now at insights.ipauthor.com, and feedback goes to [email protected].

Published on Subwave

https://subwave.app/@ipauthor/post/patent-examiner-insights-powered-by-ai--ip-authors-new-data-tool-

Saskia van Ryneveld and Sumair, VP of Business Development at IP Author, dig into a distinction that cuts to the heart of how patent professionals are actually engaging with AI: the difference between being an AI tourist and an AI resident. Tourists experiment, take a few tools for a spin, and return to their old workflows. Residents integrate AI deeply enough that it changes how they practice, not just how fast they complete individual tasks.

The conversation covers how patent attorneys are using AI as a skill multiplier rather than a substitute for legal expertise, and why the distinction matters for the quality of output. Sumair also walks through the differences he observes between European and US patent professionals in their pace and style of adoption, including where resistance tends to come from and what drives genuine uptake.

The professionals who are shaping how legal AI tools actually get built and refined are the ones using them most critically today. That feedback loop between power users and developers is where the real evolution of AI in patent practice is happening.

Published on Subwave

https://subwave.app/@ipauthor/post/whos-actually-using-legal-ai-early-adopters-skeptics--the-future-of-patent-law-episode-5

How is open source AI changing the future of patent law and legal technology?

🔗 Learn more about IP Author: https://ipauthor.com

In this episode of the IP Author Podcast, Saskia van Ryneveld, Samir Raiyani and Sumair Riyaz explore:

,Open source legal AI

,The future of patent workflows

,AI-generated innovation

,Why “the blank page” may disappear

,The evolving role of patent attorneys

,AI as a creative and technical collaborator

,How platforms like IP Author are building AI workflows for IP professionals.

The conversation also explores a fascinating question:

If AI can generate endless possibilities, what becomes the uniquely human contribution?

Published on Subwave

https://subwave.app/@ipauthor/post/why-open-source-ai-changes-everything-for-patent-attorneys-1

Samir Rajani presented AI agents to a large law firm and found 70-80% of the room apprehensive or hostile. His advice: stop waiting, find where agents multiply your output, and keep your judgment at the center.

Published on Subwave

https://subwave.app/@ipauthor/post/the-rise-of-ai-agents--what-law-firms-need-to-know-ip-author-podcast-episode-3

Samir Raiyani, founder of IP Author, breaks down why Claude Code is generating serious attention across the tech industry and what it means for knowledge workers building with AI today. Claude Code operates through autonomous "agents" that can collaborate, self-correct, and complete multi-step tasks without constant human input. Legal and IP professionals are adopting these tools faster than most industries expected, and Samir explains the mechanics behind why that adoption is accelerating.

Patent analysis, office action review, and competitor portfolio forecasting are no longer tasks that require weeks of manual research. AI agents can now handle structured legal reasoning at a speed and scale that changes how IP strategy gets built inside companies. Samir walks through what the Agentic IP Author is already capable of today, including live demonstrations of the workflows it can run end to end.

The broader question underneath all of this is what "autonomous AI" actually means in practice for legal teams and businesses. Predicting a competitor's patent filings before they happen, surfacing claim gaps in existing portfolios, and drafting responses to office actions are concrete tasks these tools are already performing. Samir covers where the technology sits right now and what the next capability thresholds look like.

Published on Subwave

https://subwave.app/@ipauthor/post/how-ai-agents-are-transforming-patents--legal-work--ip-author-podcast-episode-2

Claude Code and multi-agent AI systems are changing the mechanics of patent drafting in ways that go beyond simple automation. Tools that can run agentic workflows now handle tasks like prior art search, claim charting, and whitespace analysis, reducing the manual overhead that has historically slowed down patent professionals at every stage of prosecution.

Office action responses are one of the clearest areas where AI is delivering measurable value. Agent-based systems can analyze examiner rejections, surface relevant prior art, and generate draft arguments, giving patent attorneys and agents a faster, more structured starting point. The same underlying capabilities apply to portfolio development, where AI can scan a technology space and flag gaps worth protecting.

The episode also covers the security and risk considerations that come with deploying advanced AI models on sensitive IP work, including how to think about data exposure and model reliability when the stakes involve client confidentiality and claim validity. These are practical concerns for any IP professional evaluating whether and how to bring these tools into their practice.

Published on Subwave

https://subwave.app/@ipauthor/post/agentic-ai-for-patents--the-future-of-patent-drafting-prosecution--ip-strategy