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Webinar

AI Adoption in IP: From Pilot Projects to Realizing Value

Turning AI Potential into Impact: The Next Step for IP Teams

In this on-demand webinar, Halim Shehadeh, Group CEO at CWB, and Toni Nijm, Chief Product Officer at Anaqua, share their perspectives on what it takes to turn AI experimentation into meaningful adoption across IP organizations.

From building trust and establishing governance to preparing teams and gaining leadership support, this conversation explores the key factors that can help organizations move from isolated AI pilots to sustainable, enterprise-wide adoption.

Speakers

Halim Shehadeh - Group CEO - CWB

Toni Nijm - Chief Product Officer - Anaqua

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Whitepaper

Preparing for an AI-Orchestrated Future

AI and the next evolution of IP management

Artificial intelligence is transforming how IP teams' work. The next challenge is moving beyond isolated AI tools and pilots to create a connected, intelligent IP ecosystem that delivers value across the entire lifecycle.

In this e-book, Anaqua explores how leading corporations and law firms are preparing for a future where AI not only assists with individual tasks but helps orchestrate processes, workflows, and decision-making across the IP function.

Drawing on insights from IP leaders at the forefront of AI adoption, this guide examines how organizations can evolve from systems of record to systems of intelligence while maintaining the strategic oversight and human judgment that define successful IP operations.

“Deploying an interconnected AI platform isn’t just about efficiency; it’s about reimagining what’s possible.” - Toni Nijm, Chief Product Officer, Anaqua

In this e-book, you'll learn:

How AI is reshaping the role of IP professionals from operators to strategists

What an AI-orchestrated IP lifecycle looks like in practice

Where AI can create value across invention, prosecution, portfolio management, and brand protection

How to connect AI-powered processes while managing risk and maintaining oversight

The skills IP professionals will need in an AI-driven future with insights from Anaqua’s clients

Download the e-book to explore how forward-thinking IP corporations and law firms are building the foundation for the next generation of intelligent IP management.

Download the eBook

Webinar

AI for Lean IP Teams: Doing More with Less While Empowering the Next Generation

This webinar explores how corporate and law firm IP teams can use AI to expand capacity, improve efficiency, and manage growing workloads without adding headcount or budget. While AI is delivering significant time savings across activities such as prior art searches, freedom-to-operate analysis, docketing, and portfolio management, it also raises important questions about training the next generation of IP professionals as many traditional learning opportunities become automated.

Designed for IP leaders, attorneys, managers, and senior paralegals, the session will examine where AI creates the most value, how roles and professional development are evolving, which tasks should be automated versus preserved for skill-building, and what governance practices support successful adoption. Attendees will leave with a practical framework for balancing AI-driven efficiency with the development of the knowledge, judgment, and expertise needed for long-term success in an increasingly automated IP profession.

Speakers

Timothy Markison, Founding Partner - Garlick & Markison

Carlo Cotrone, Founder & Principal Consultant - Quartal IP

Gene Quinn, Founder & CEO - IPWatchdog, Inc.

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Press Release

New Anaqua Report Reveals Surge in AI Semiconductor Patent Filings

AI emerges as the defining innovation driver at 114% growth in patent filings, reshaping semiconductor R&D investment across every layer of the technology stack

Boston, MA – September 1, 2026 - Anaqua, the leading provider of innovation and intellectual property (IP) management technology and services, today announced key findings from its 2026 Semiconductor Industry Patent Report: AI & Innovation Trends, published earlier today. The report, an analysis of global semiconductor patent activity, reveals a market undergoing structural transformation, driven significantly by the demands of artificial intelligence (AI). While overall semiconductor patenting grew 78% over the last five years, patents at the intersection of AI and semiconductors grew 114%, which is nearly 40 percent faster. AI is not merely influencing semiconductor innovation, it is increasingly defining it at every level of the technology stack – across chip architecture, graphics processing units (GPUs), inference processors and custom accelerators for hyperscalers.

"Semiconductors are the foundation of the technology industry, and their advances unlock entire new categories of innovation," said Toni Njim, chief product officer, Anaqua. "We set out to measure exactly how much artificial intelligence (AI) is driving that foundation forward, and the answer is clear: AI isn't just influencing semiconductor innovation anymore. It's defining it and the scale of that impact is astounding."

Using Anaqua's AcclaimIP patent analytics platform to analyze more than 700,000 semiconductor patent filings, the report shows AI's influence on nearly every layer of chip innovation.

Key Findings from Anaqua's 2026 Semiconductor Industry Patent Report:

AI is a disproportionate, structural driver of semiconductor innovation. It's not just a cyclical bump. AI-and-semiconductor patents grew 114% versus 78% for the broader combined universe. A closer examination of key semiconductor subcategories across the AI landscape makes it even more evident that AI is driving an outsized impact on the chip market. This isn't a niche trend: AI has become the primary organizing force behind where semiconductor R&D investment and patent filings are being directed.

NVIDIA's patent footprint may appear smaller relative to its market dominance because its moat isn't in hardware. NVIDIA holds just 49 GPU-titled semiconductor patents (ranking #7) and ranks #15 in inference chips. Its durable advantage lies in its CUDA (Compute Unified Device Architecture) software ecosystem, introduced in 2006.

IBM leads where the science is hardest. IBM tops AI-semiconductor crossover filings (794) and analog AI (389), with a footprint concentrated in frontier technologies. These include quantum computing, neuromorphic chips and phase-change memory that encodes neural-network weights directly onto the chip (claiming roughly 14 times better energy efficiency, now reaching commercial deployment via its Spyre accelerator).

Qualcomm is quickly pivoting from mobile into the data center. Long anchored in on-device and edge AI, Qualcomm now ranks #9 in inference (655 filings, notably with none granted five years ago) and shows some of the steepest growth in the report, up 186% in AI architecture (252 filings), with a rising GPU position (#4, 134 filings). Its analog work spans neuromorphic mobile circuits and its new AI200/AI250 data-center inference accelerators, which lean on power efficiency and memory capacity as differentiators against competitors.

Samsung is leveraging its memory position into broad AI-hardware leadership. Samsung leads AI architecture patenting (1,194 filings), leads HBM (107 filings), and ranks second in both inference and analog AI, spanning neural processing units (NPUs), processing-in-memory (PIM), and its Exynos system-on-chip (SoC) line. It's the clearest case of a memory manufacturer converting that base into end-to-end AI-chip strength.

China dominates AI inference patenting by a significant margin and is rising fast in GPUs. Chinese government-affiliated entities lead inference and accelerator filings with 5,387 over five years, far ahead of Samsung's 1,897, spreading across universities, national labs and state research institutes. The same entities rank third in GPU filings, with startups like Moore Threads and Muxi emerging. This can be read as the result of a chip-sovereignty response to U.S. export restrictions.

Intel is strategically positioned for an AI future. Intel leads GPU semiconductor filings with 188. It ranks second, with 967 filings, in the AI-in-IC (integrated circuits)-architecture space. Intel ranks third with 23 patents that address HBM, and fifth in patents granted (225) at the convergence of AI and analog ICs, ranking 8th in inference semiconductor patents with 792.

Hyperscalers have become silicon designers. Alphabet/Google's tensor processing unit (TPU) and Microsoft's Maia accelerator-related patenting appear across nearly every AI-and-semiconductor patenting intersection. This reflects cloud giants designing custom chips for their own workloads rather than buying off the shelf, a vertical-integration shift emerging in terms of who controls AI hardware.

Anaqua's Semiconductor Industry Patent Report

Anaqua's Semiconductor Industry Patent Report is based on an analysis of 713,755 total semiconductor-related filings over the latest five-year period, including more than 174,000 in the most recent 12-month period alone. The report was generated using data from Anaqua's AcclaimIP patent analytics platform, accessed between May and June of 2026. All queries were executed via the AcclaimIP Model Context Protocol (MCP) connector, enabling direct programmatic access to the full patent database. For a free copy of the report, please visit 2026 Semiconductor Industry Patent Report: AI & Innovation Trends.

About Anaqua

Anaqua, Inc. is a premier provider of integrated intellectual property (IP) management technology solutions and services for corporations and law firms. Its IP management software platforms offer best practice workflows with big data analytics and tech-enabled services to create an intelligent environment designed to inform IP strategy, enable IP decision-making, and streamline IP operations, and protect organizations' freedom to operate tailored to each segment's needs. Today, nearly half of the top 100 U.S. patent filers and global brands, as well as a growing number of law firms worldwide use Anaqua's solutions. Over two million IP executives, attorneys, paralegals, administrators, and innovators use the platform for their IP management needs. The company's global operations are headquartered in Boston, with offices across the U.S., Europe, Asia, and Australia. For additional information, please visit anaqua.com, or on Anaqua's LinkedIn.

Media Contact:

Jean Kondo
Anaqua
+1-617-375-5808
media@anaqua.com
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This session is a must for IP professionals in law firms or corporations that want to better understand the impact of AI on their role.

Watch the recording to learn:

Why AI is transformational for the IP industry
Practical knowledge on how to enhance brand protection with intelligent, automated workflows
How AI-powered tools streamline analysis and decision-making
Live demonstrations showcasing the potential of AI to drive better IP decision-making and eliminate routine administrative tasks

Speakers

Toni Nijm, Chief Product Officer, Anaqua

Nicole Davis, Associate Director of IP Operations, Anaqua

Timmi Kleinnibbelink Rysgaard, Product Owner, Brand Protection, Anaqua

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