Drafting for the EPO: How AI Can Make the New EPO–IP Australia PCT Pilot a Success

The EPO and IP Australia are launching a new PCT pilot programme on 1 March 2026 which will allow Australian applicants to designate the EPO as their International Searching and Preliminary Examining Authorities (ISA and IPEA). 

Given the EPO’s rigorous approach to clarity and support requirements, for this pilot programme to succeed, Australian applicants and patent practitioners will have to adapt to draft international applications with EPO-specific requirements in mind.

The launch of this pilot programme will add a new layer of complexity — (and opportunity) for patent practitioners. In a landscape where jurisdictional nuance can shape international search and examination outcomes, AI‑augmented tools such as Solve Intelligence's Patent CopilotTM are becoming increasingly valuable.

Drafting for the EPO: How AI Can Make the New EPO–IP Australia PCT Pilot a Success

Why the EPO–IP Australia PCT pilot matters

This pilot programme will expand options for Australian applicants by giving them access to thorough search reports and detailed written opinions from the EPO early in the international phase. 

The quality of drafting at the PCT stage has always had a direct impact on the usefulness of the international search report and strategic decisions that follow. With the launch of this pilot programme, the importance of high-quality drafting for Australian applicants will be emphasised.

Common challenges

Last autumn, Solve Intelligence wrote about the importance of drafting patents for local jurisdictions even when prosecution strategies are multi-jurisdictional in the article AI for Patents in Every Jurisdiction. The announcement of the EPO-IP Australia pilot programme highlights a slightly different perspective though: the importance of drafting patents for unfamiliar jurisdictions.

All patent practitioners know that drafting conventions that work well in one jurisdiction may create friction in another. This is exacerbated, particularly when applications are searched or examined by offices with strict clarity and support requirements such as the EPO. 

Common challenges include:

  • claim structure requirements 
  • claim dependency practices
  • disclosure standards

These challenges do not disappear during the international phase; rather, they will be amplified when the EPO conducts the international search and issues the written opinion.

How AI can help with patent drafting

AI is becoming an increasingly valuable drafting companion for patent practitioners. Used well, it can accelerate the early stages of application preparation, reduce time spent on repetitive drafting tasks, and help practitioners maintain consistency across claims and the specification.

Just as importantly, AI can act as a quality check. It can be used to surface potential clarity issues, ensure terminology is used consistently, and ensure a robust disclosure. In the context of international filings, this can lead to stronger applications in the international phase and fewer avoidable issues later in prosecution.

For Australian applicants and patent practitioners looking to succeed in the EPO–IP Australia PCT pilot programme, AI-augmented drafting tools could make all the difference.

How Solve’s Patent Copilot supports jurisdiction-specific drafting

Solve Intelligence's Patent Copilot is specifically designed to support jurisdiction-aware drafting from the start. Rather than merely offering generic drafting assistance, it incorporates office-specific conventions into its workflows to help practitioners draft high-quality patent applications tailored to the expectations of different patent offices.

Solve Intelligence's Patent Copilot employs jurisdiction-specific AI algorithms that form “region drafters”. Each region drafter is configured to reflect the requirements, conventions, and best practices of the relevant patent office. 

Practitioners can choose their target jurisdiction from one of two dropdown menus, which will load the appropriate region drafter for their target jurisdiction, and support their drafting for the chosen target jurisdiction. Additionally, users are also given the option to set the user interface and the AI output in their desired language.

Solve Intelligence Patent Drafting Copilot User Interface

For example, with the EPO-focused region drafter loaded, the underlying AI algorithm will ensure that the claims are drafted using the two-part form where necessary and with multiple dependencies, thus reducing the risk of formal objections in the written opinion and improving the support for claim amendments further down the line. Amongst others, Solve's Patent Copilot also has an IP Australia-focused region drafter, making it uniquely positioned to support patent professionals and applicants seeking patent protection in both regions.

Final thoughts

The EPO–IP Australia PCT pilot highlights the strategic value of high‑quality, jurisdiction‑aware PCT drafting. At Solve Intelligence, patent attorneys are working together with engineers to build products that achieve this, that patent professionals across the globe can use in their practice every day.

To learn more, get in touch with us to request a demo.

AI for patents.

Be 50%+ more productive. Join thousands of legal professionals around the world using Solve’s Patent Copilot™ for drafting, prosecution, invention harvesting, and more.

Related articles

Maiwald Chooses Solve Intelligence for Selected AI-Supported IP Workflows

Solve Intelligence is proud to share that Maiwald, one of Germany’s largest and most progressive intellectual property firms, works with Solve Intelligence on selected AI-supported workflows in its patent and legal practice groups. Following an evaluation period during which selected functionalities were assessed for approved internal use cases, Maiwald and Solve have formed an enterprise partnership for 2026.

The rollout reflects the same careful approach Maiwald brings to its client work. Solve enables customers in Europe to process data on servers located within Europe and holds recognized information-security certifications. In addition, Solve offers contractual commitments designed to protect confidential professional information in line with applicable statutory confidentiality obligations and professional conduct requirements. Against that background, any use of AI-supported tools took place only within approved governance structures and under applicable professional, contractual, confidentiality and data-protection requirements.

That balance of innovation and professional judgment is characteristic of Maiwald. The firm has spent decades setting a standard for IP work in Europe: rigorous prosecution, a formidable contentious practice, and interdisciplinary teams of patent attorneys and attorneys-at-law working side by side. The firm approached AI the same way, methodically, with a clear sense of where it adds leverage and where an experienced attorney’s judgment remains irreplaceable. 

PTAB Case Studies of AI Disclosure Requirements: Part II

This article is the second of a series of Patent Trial & Appeal Board (PTAB) case studies (see Part I), which aims to inform applicants’ approach to satisfying the written description and enablement requirements for patenting artificial intelligence (AI) and machine learning technologies.

How Much of Your Patent Practice Should You Codify?

Both in-house teams and outside counsel can let a purpose-built platform carry the shared foundation for their patent work. They can then focus their limited time on the standards and judgment that set their work apart. AI has made this division of labor more valuable by raising the payoff for turning a practice into templates, instructions, and review criteria that run at scale. Let’s call that codification. The platform can encode a great deal of best practice out of the box, and a team can add its own custom templates and instructions on top. The real question is how much to add and how much to leave to the platform. There is no fixed formula because the right balance changes as the team’s practice, the law, and the technology evolve.

Key takeaways

• AI has raised the payoff for codifying patent practice. Codification now guides AI-assisted drafting and review directly, not just junior training.

• A purpose-built patent platform can encode a large body of best practice out of the box, so a team can begin with that foundation rather than write its own.

• Solve Intelligence maintains its shared foundation across more than 700 IP teams, keeping it current far more efficiently than any single team could alone.

• The strategic choice is how much of your own practice to codify on top; scarce expert time should go to the standards and judgment that differentiate your work.

• A named professional still signs off on every filing, so accountability for the result never shifts to the AI.

How Successful Patent Practitioners Are Putting AI to Work

The most effective patent practitioners are already using AI patent drafting to draft faster, catch claim inconsistencies earlier, and free up hours for the strategic work that actually wins allowances.

Key takeaways

  • AI patent drafting tools can reduce application drafting time by up to 80 percent, with Solve Intelligence customers consistently reporting 50 percent or greater efficiency gains across drafting and prosecution 
  • Roughly 9 out of 10 utility patent applications receive at least one office action rejection, so prosecution efficiency matters as much as drafting speed 
  • Solo attorneys use AI to match larger law firms on turnaround speed and client capacity
  • The strongest reported results come from iterative AI–attorney collaboration, with practitioners directing the process and owning the final work product