The Impact of Generative AI on Patent Drafting: A New Era for Intellectual Property Law

Ian Schick
18 May 2023

In the realm of intellectual property (IP) law, the drafting of patent applications has long been an intricate, labor-intensive task. The process of authoring these documents has traditionally demanded a meticulous blend of technical understanding, legal proficiency, and individual creativity. However, the advent of artificial intelligence (AI), specifically generative AI, is heralding a transformation in this arena. This article highlights the impact of generative AI on the patent drafting process, emphasizing the automation of bespoke writing content and the consequent evolution of patent attorneys’ roles.

The patent drafting process comprises three primary components: bespoke writing content, mechanical writing content, and canned content. Bespoke writing refers to the original content created for each unique patent application, often requiring deep understanding and interpretation of the invention. Mechanical writing content includes translating one form of content into another, such as transforming patent claims to prose for literal support in the specification. Canned content, on the other hand, encompasses standard language reused across multiple applications.

The first significant automation step in patent drafting came with the advent of tools for mechanical writing content. Specifio, an AI-based tool, successfully automated the mechanical writing process in 2017. Since then, dozens of other companies and law firms have developed similar tools, effectively reducing the time and effort expended on this task.

However, the automation of bespoke writing content posed a more significant challenge due to its inherent demand for creative and technical input. This is where generative AI has recently made substantial inroads. By leveraging advanced machine learning algorithms, generative AI can create bespoke writing content comparable in quality to that produced by human drafters, presenting a significant advancement in the automation of patent drafting.

Generative AI’s capabilities have profound implications for the IP industry, particularly in the face of the ongoing budget pressures faced by corporate legal departments. These departments, under constant scrutiny to reduce costs, have been driving demand for cheaper patent applications. Generative AI not only provides a cost-effective solution but also does so without compromising the quality of the patent applications.

This economic pressure is further exacerbated by the shrinking patent bar and decreasing market rates for patent preparation and filing. Simultaneously, the demand for patent services continues to rise, as evidenced by the steady upward trend in patent filing volume over time. This combination of factors underscores the necessity for the automation of patent application preparation. 

Automating the patent application process using generative AI does more than just alleviate these pressures. As the technology improves, we can anticipate a further increase in patent filing volume, continuing its historical upward trend. This increase in volume, coupled with the reduced costs associated with AI-driven automation, will likely fuel more innovation as more entities can afford to protect their inventions through patents.

The integration of generative AI into the patent drafting process also signifies a shift in the role of patent attorneys. No longer content creators, attorneys are transitioning to content reviewers and editors. Rather than crafting each application from scratch, they can now oversee the AI-generated content, making necessary adjustments and ensuring that the application meets all legal and technical requirements. This shift frees up attorney time, reducing the time spent on each project to an estimated 1-3 hours, and allows them to focus on more value-adding tasks such as strategic IP planning and advising. Indeed, the implementation of AI in patent law is not aimed at replacing attorneys but rather at empowering them to do more with less.

In conclusion, the arrival of generative AI in the field of patent law marks a significant milestone in the evolution of the industry. The automation of the patent drafting process, particularly the creation of bespoke writing content, promises to address the challenges of shrinking budgets, a contracting patent bar, and increasing demand for patent services. The future of patent law, undoubtedly, will be shaped by how effectively we harness the potential of AI.

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