An analysis of the converging market forces—generative AI commoditization, corporate internalization, and strategic asset revaluation—that are driving a permanent contraction in external counsel demand.
Analysis of the 2025 landscape reveals China controls 70% of global AI patent volume, yet suffers a 32% grant rate. This report examines the operational impact on Freedom-to-Operate (FTO) costs and the necessity of AI-driven prior art search.
South Korea’s rapid ascent to 18th in global AI adoption correlates with critical KIPO regulatory shifts. This analysis explores the operational necessity of AI integration for patent attorneys facing semantic search-equipped examiners.
Harvey's projected $11 billion valuation signals a transition in the legal technology market from fragmented point solutions to capital-intensive infrastructure. This analysis examines the implications of this consolidation for enterprise procurement and the shrinking viability of the 'wrapper' business model.
An analysis of the 2025 workload reduction in major Korean IP firms. We examine the convergence of corporate internalization, AI-driven efficiency, and shifting software protection strategies causing the decline in external billable hours.
The year 2025 has been a milestone for technological acceleration. The recently released "Top 10 Patents of 2025" by IPWatchdog highlights pivotal shifts in 6G communications, AI, biotechnology, and semiconductors.ㅡFor patent attorneys, understanding these trends is crucial not only for staying informed but for strategically advising clients in an increasingly complex IP landscape.
A recent analysis by Andreessen Horowitz (a16z), "The Future of Prosumer: The Rise of AI-Native Workflows," defines a monumental shift in the software landscape. It's moving from simply adding AI features to existing platforms toward "AI-Native" workflows—where the entire process is redesigned around the capabilities of LLMs.
This post goes beyond the DABUS headlines to discuss the practical risks of "AI-Assisted Inventions" and how to counsel clients to ensure their patents withstand validity challenges in the generative AI era.
Here is a strategic framework to overcome "Simple Application of AI" rejections by leveraging Data Preprocessing and Hyperparameter constraints.
Prevent AI hallucinations and ensure full support (35 U.S.C. §112, EPO Art. 84) by generating the patent specification after finalizing claims. Discover 5 "Claims-First" prompt templates to lock the AI within the legal scope, covering system claims, method sequences, and means-plus-function limitations.
"What if I miss a killer X-reference simply because the applicant used 'Coupling Means' instead of 'Fastening Member'?" The nightmare of facing a rejection based on a document you missed—because of a single keyword—is real. Today, I’m sharing a method to drastically reduce this risk using Generative AI (ChatGPT, Claude, etc.). This isn’t just about "asking AI." It’s about strategic prompt engineering to filter out noise and extract the exact keywords needed for a robust search string.
Specific Prompt Examples for Drafting Patent Specifications (Optimized for Patent Professionals)
Drafting patent specifications is at the core of what we do as patent practitioners. Yet managing specification quality systematically in practice proves more challenging than it appears. Between inventor communications, prior art analysis, and claim drafting, the variables multiply quickly.
Analyzing key AI technology trends in the patent industry for 2025. From generative AI and multimodal processing to agentic AI, legal issues, and Asian market dynamics.
Analyzing three types of AI patent services and pricing strategies. From point solutions to strategic platforms, and introducing localization strategies for the Asian market.
