Justin Doop

Patent prosecution has always hinged on precision, speed, and strategic foresight. Yet as Office Actions grow in both volume and complexity, often bundling multiple §§102 (novelty) and 103 (obviousness) rejections grounded in nuanced claim interpretations and an ever-expanding body of prior art, the traditional toolkit of the patent professional faces serious challenges. Manual claim charting, painstaking annotation of cited references, and labor‑intensive crafting of responses under tight deadlines can create bottlenecks, drive up costs, and leave room for human error.

Enter AI-powered claim charting: a suite of advanced natural language processing (NLP), machine‑learning (ML), and knowledge‑representation technologies that is rapidly reinventing each step of the Office Action workflow. By automating the generation of claim charts, surfacing hidden flaws in Examiner rejections, semantically analyzing claim language, and even proposing targeted response strategies, AI tools are transforming how attorneys and agents prosecute patents.

In this post, we’ll explore four core capabilities of AI‑driven claim charting and how they bring both speed and insight to Office Action responses:

1. Automated analysis of Examiner rejections
2. Instant flagging of issues and gaps
3. Holistic assessment of claim language and prior art
4. AI‑generated response strategies

Recent developments in artificial intelligence have significantly simplified once complex tasks for patent professionals. One area that has recently seen a significant leap is patent figure generation, moving beyond simply analyzing drawings and figures to full generation capabilities, intelligent labeling, visual refinement, and rule-based output validation. These tools are evolving quickly to meet the increasing demands for patent professionals, allowing them to be more accurate and provide more compliant visual documentation of inventions quickly and easily.

As the legal industry continues to evolve, staying ahead of the curve with the latest advancements in intellectual property (IP), legal technology, and artificial intelligence (AI) is crucial. Attending top-tier conferences not only helps legal professionals stay updated but also provides networking opportunities, insights into future trends, and the chance to meet industry leaders. Whether you're a seasoned attorney, a tech enthusiast, or someone navigating the complexities of IP law, these events are a must-attend in 2025.

Navigating the complexities of patent prosecution can be daunting, but advancements in AI have ushered in tools that make the process more efficient and accurate. In this article, we’ll explore the top AI patent prosecution tools of 2025, highlighting their features, benefits, and how they’re revolutionizing the field of intellectual property.

At Solve Intelligence, we build AI tools for patent attorneys. This means a design philosophy of developing, testing and refining our platforms specifically with our end-users in mind. We recognize that in order to build the best AI tools for patent attorneys, patent attorneys themselves must be involved in the development process. Their domain expertise, combined with the advanced technical knowledge of our AI and engineering teams, ensures our Patent Copilot isn’t just innovative—it’s tailored to the realities of patent practice, delivering solutions that truly work for attorneys. In this article, we explain what our patent attorneys do here at Solve, and how they collaborate with our wider team and customers to deliver our AI solutions.

The integration of artificial intelligence (AI) into the field of intellectual property is transforming the way patent professionals approach their work. One of the most significant advancements in this area is the use of AI tools for drafting patent claims. These claims, the cornerstone of any patent, define the legal scope of an invention’s protection, making their accuracy and clarity critical. With the advent of AI-assisted tools, drafting patent claims is becoming more efficient, precise, and accessible.

This article explores the benefits of using AI to draft patent claims, compares leading AI tools in the market, and highlights important considerations for implementing these tools effectively.