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�ճ����‘s Artificial Intelligence Search Automated Pilot, or ASAP, program introduces earlier visibility into the prior art landscape by providing applicants with an automated search results notice prior to substantive examination.

The pilot program is scheduled to operate within a limited period from Oct. 20, 2025, through April 20, 2026, or until participation thresholds are met.[1]

As the participation thresholds are still relatively far from being met, and in light of the USPTO’s announcement last month about expanding the thresholds and waiving petition fees, practitioners may consider how early access to prior art could influence drafting approaches, claim scope definition and overall prosecution strategy.[2]

The automated search results notice presents a set of potentially relevant references identified through an automated search process that evaluates the application’s disclosure against domestic and international patent databases.

Unlike traditional substantive examinations, where prior art is first introduced through an office action, this program places that information in front of applicants at an earlier stage in the lifecycle of the application.

In this regard, earlier access of that nature may influence when and how applicants evaluate patentability and approach prosecution strategy. Rather than encountering prior art for the first time during examination, applicants may be positioned to consider the scope and direction of protection with greater awareness of the existing landscape at the outset.

This article provides an overview of how such a shift in timing could influence filing strategy, claim development and portfolio management from a business perspective, along with potential implications for patent counsel.

Adoption Driven by Business Considerations

For companies, early access to prior art through initiatives such as the ASAP program may be viewed as influencing how patent strategy is developed from a business and resource allocation perspective.

Patent filings have generally functioned as business assets tied to product timelines, competitive positioning and allocation of internal resources, among others. Decisions regarding whether to pursue protection, how broadly to claim an invention and how to structure a portfolio have usually been guided by timing, cost and risk.

Within such a framework, early access to prior art may allow applicants to assess the strength of an application before committing significant resources. Where identified prior art presents clear challenges, applicants may elect to refine or narrow claim scope, clarify the existing specification via preliminary amendment without adding new matter, or discontinue pursuit of the application to save on further costs.

Such early-stage evaluation may be particularly relevant for entities managing multiple filings or operating within defined budget constraints, as such evaluation could limit continued investment in applications unlikely to yield meaningful protection.

Although the ASAP program currently applies to specific application types and imposes a cap of three petitions per inventor or joint inventor, similar approaches may be adopted more broadly in the future.

Early insight may go beyond just deciding whether to proceed with prosecution of certain claims, and can include how to draft such claims. Rather than relying on broad claims that are later narrowed during prosecution, applicants may define claim scope with greater precision at the outset.

Such an approach may result in claims that more closely reflect underlying technology and commercial implementation, while potentially reducing the likelihood of securing claims that are technically allowable but not useful in business.

For example, early visibility into prior art may allow applicants to focus claim drafting on distinguishing technical features, rather than broadly framed concepts that may be constrained by existing disclosures, which may align the resulting protection more closely with commercially relevant implementation.

Cost considerations may also follow a similar trajectory. Patent prosecution has historically been resource-intensive when involving multiple rounds of examination, and addressing potential issues earlier may reduce the number of office actions and amendments required.

Even though the automated search results notice is not treated as an office action and does not require a response, the notice may still offer an early look at possible issues, which may assist in shaping strategic decisions, budgeting expectations and allocation of resources at an earlier stage.

At a broader level, early-stage visibility may support portfolio-level planning. Companies may make more informed decisions regarding continuation filings, claim scope adjustments and international filing strategies. Such considerations may be particularly significant in industries with short product cycles, where timing of protection has often been aligned with market entry and competitive positioning.

Implications for Patent Counsel

The introduction of AI-assisted prior art tools may not be understood as reducing the role of patent counsel. Rather, such developments may be viewed as shifting the focus of work toward earlier and more strategic engagement.

A substantial portion of traditional patent prosecution has been dealing with rejections from examiners. With earlier access to prior art, strategic analysis by patent counsel may occur at the beginning of the process.

Such analysis may include evaluating the strength of an invention, advising on the scope of claims and guiding decisions regarding whether or not to proceed with the patent application. In this regard, the role of patent counsel may be described as centering on shaping possible outcomes rather than reacting after examination begins.

Early insight into prior art may also enhance client engagement. At first, attorneys may be able to give a clearer picture of the risks, which could lead to more informed conversations about investments, timing, and portfolio priorities. Clients may gain a more transparent understanding of how an application is likely to progress.

In such cases, the quality of the patent application may also become more important. Claims and specifications may be expected to provide sufficient support for potential amendments. Applications drafted with such care may be better positioned to withstand scrutiny and to retain value in possible enforcement or licensing situations.

Practical Considerations

AI-assisted search may provide meaningful insight to supplement rather than replace legal analysis. References identified through such tools may require careful evaluation, as not all prior art carries equal weight, and application during examination remains subject to legal interpretation.

Early search results may introduce a risk of narrowing claims prematurely. Applicants may balance early insights with broader strategic considerations to preserve the overall value of the resulting patent.

Use of AI-assisted tools may also require changes in how firms manage internal workflows, including earlier review of prior art and closer coordination across teams. Firms that adopt such tools may see improvements in efficiency and better alignment between patent strategy and business goals.

Conclusion

AI-assisted prior art search initiatives such as the USPTO’s ASAP program may be viewed as reflecting a shift in patent practice toward earlier, more informed strategic assessment.

By moving prior art analysis closer to the filing stage, applicants may address certain issues at the outset rather than during later stages of examination.

For companies, such an approach may support more disciplined investment decisions and closer alignment between patent protection and commercial objectives.

For patent counsel, the same development may reinforce the importance of early-stage strategy, precise drafting and effective client guidance.

[1] Oficina de Patentes y Marcas de EE. UU., «La USPTO lanza un nuevo programa piloto de IA para la búsqueda previa al examen de solicitudes de utilidad», Noticias y novedades, 8 de octubre de 2025..

[2].

Este artículo se publicó originalmente en el 15 de abril de 2026 y se vuelve a publicar aquí con permiso.