10 Tips for Patent Attorneys to use AI effectively

Patent attorneys often face high workloads, tight deadlines, and the pressure to deliver impeccable work. AI-powered tools like Solve Intelligence’s Patent Copilot are revolutionising how patent applications are drafted and prosecuted, offering attorneys significant efficiency gains. Here’s how to make the most of these tools and transform your workflow.

10 Tips for Patent Attorneys to use AI effectively

1.  Give Clear Instructions

The quality of AI-generated outputs often depends on how well you frame your instructions or prompts to the AI. Try breaking your instructions up into logical steps, and give examples where possible. Be concise and precise - there’s no need for manners when instructing the AI!

2.  Provide Key Context

Providing AI with some key context documents can focus the AI on a specific task, making its output more relevant. Users can provide our Patent Copilot with an invention disclosure, and reference prior art to focus the AI on the inventive concept of the invention. Focusing on providing the most important context, rather than referring to many less-related documents, can result in more accurate and tailored outputs from the AI, saving time on revisions.

3. Add Figures to Provide Additional Information

Visual elements such as figures can greatly enhance the AI’s understanding of your invention. Whilst some AI tools do not support Figure analysis, you can upload diagrams, flowcharts, or even sketches when using Patent Copilot. Adding figures early will help the AI generate more contextually appropriate text, and the Patent Copilot will even reference the figures as required when drafting your patent specification description.

4. Save Bespoke Instructions for Repeated Use

Some clients may require a particular drafting style. Similarly, a draft to a chemical composition may require a different approach to a draft to a computer-implemented invention. Saving a set of AI instructions to accommodate these differences will allow you to adapt quickly and use AI more efficiently. Patent Copilot allows you to do this very simply by building and saving templates for use with AI. The templates can include custom AI instructions, custom boilerplate, and more.

5. Break Down Complex Drafting Tasks

Patent Copilot has been designed to let you generate discrete sections of a patent application, such as the background, summary, and claims, separately. This modular approach simplifies revisions and ensures that the patent attorney stays in control of the drafting process throughout. Breaking down your instructions and revisions on a section-by-section basis usefully provides further context to the AI during the drafting process, which improves the accuracy and relevance of the AI output.

6. Utilise Real-Time Error Detection

Mistakes when drafting may include antecedent basis issues, lack of support for claim features, or non-use of certain reference signs when referring to the figures. Such issues can lead to objections during prosecution. When you’ve drafted your application, use AI to check for these issues before filing your application. Patent Copilot has a dedicated review functionality to do this for you.

7. Save Time with Automatic Document Formatting

Formatting and/or adjusting patent applications for specific jurisdictions can be tedious, but you can use AI to help with this. Patent Copilot can be set to a specific jurisdiction when using the AI and on export of your application, to automatically adjust to the regulations of that specific jurisdiction. Selecting the appropriate jurisdiction before drafting will help the AI draft the application appropriately for that jurisdiction right away.

8. Focus on Strategic Tasks

By automating repetitive drafting tasks, such as the background, summary, and detailed description sections of an application, AI can free you to concentrate on higher-level work - meeting with inventors more to obtain better invention disclosures, developing robust claims that follow your client’s strategy, or advising on future filing plans. Drafting your own robust claims directly in our document editor will allow Patent Copilot to obtain even further context of the invention, enhancing the AI’s output in other sections and helping to improve the overall quality of your applications.

9. Integrate AI into Collaborative Workflows

Whilst most off-the-shelf AI tools are configured for use by individuals only, Patent Copilot is designed to be used collaboratively between colleagues. Share templates and drafts with team members, allow them to make edits, and use AI suggestions to review and finalise documents efficiently.

10. Stay Updated on New Features

Technology and particularly AI is constantly evolving, and here at Solve Intelligence we add new features to our Patent Copilot every week. Staying informed about these updates allows you to seamlessly upgrade your workflow to utilise our newest features. Refer to our customer communications, or simply get in touch with our dedicated IP team of patent attorneys and legal professionals to discuss any part of the Patent Copilot.

By following the above tips, you can unlock the full potential of AI in your drafting and prosecution process, making efficiency gains that leave you more time to focus on the important aspects.

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