Picture this scenario:
You’re a patent prosecutor and your new client, Alex, has developed a groundbreaking AI-driven app that personalizes learning for students with disabilities and education more accessible to them. It’s your job as a patent lawyer to help Alex patent his app to protect his idea and ensure that it’s not copied by anyone else.
But as you know, the patent prosecution process can be a long and complex one, and you’re looking for ways to make it easier and more seamless.
Since artificial intelligence (AI) is becoming increasingly popular, you’re interested in finding a way to integrate AI into the litigation process. But you’re apprehensive because you don’t want to do anything unethical.
In this article, we will cover:
- What the traditional patent prosecution process looks like
- How AI is reshaping patent prosecution
- The benefits of using AI in patent prosecution
- How to implement AI ethically into patent prosecution and litigation
- Considerations to make before using AI in patent prosecution
- The future of AI in patent prosecution
What does traditional patent prosecution look like?
Traditional patent prosecution is a structured process that inventors or their representatives (often a patent attorney or agents) undertake to secure a patent right for an invention.
This process involves writing and filling out an application for a patent, which grants inventors exclusive rights to their invention and prevents others from using, making, selling, offering sales, or importing the patented invention without authorization for a limited period, usually 20 years from the filing date of the patent application.
A patent has three main sections:
- The cover page contains a brief summary of the invention, the name of the inventor, and the date the patent went into effect.
- Specifications go into greater detail about the invention, including how the invention was made, and how it is used.
- Claims define and limit the core elements of the invention.
The traditional patent prosecution process usually involves interaction with the patent office, such as the United States Patent and Trademark (USPTO) if you are in the United States, the European Patent Office (EPO) if you are in Europe, or the Canada Intellectual Property Office (CIPO) if you are in Canada, etc.
How AI is reshaping patent prosecution?
As Artificial Intelligence (AI) continues to evolve, it offers new opportunities to help you streamline client legal processes and secure more patent prosecution rights. Here are five ways AI is changing the landscape of patent prosecution:
- Enhance prior art searches and technologies. AI has significantly improved the capabilities of patentability searches. You can now use AI-powered search tools that utilize Natural Language Processing (NLP) and Machine Learning (ML) algorithms to understand the context of an invention.
These tools analyze vast databases of patents, published applications, and non-patent literature more thoroughly and efficiently than traditional search methods. This reduces the risk of overlooking important references and helps you assess the novelty of your client’s invention with great precision.
- Drafting patent application. With AI-assisted drafting software, you can automate parts of the application, such as generating descriptions of certain elements of your client’s invention based on the inputs you provide.
This technology ensures consistency in the language used throughout the application and suggests improvement to claims based on analysis of granted patents in similar fields.
- Enhancing examiner-patentee interactions. Traditional interactions between patent examiners and patentees (or their representatives, such as attorneys or agents) have often been rigid and formal. They’re usually limited to written communications and, in some jurisdictions, infrequent interviews.
AI systems can improve these interactions and make them less rigid. For example, legal AI tools can analyze an application and provide amendments that likely lead to an allowance, even before the first office action is issued. This proactive approach significantly helps you reduce the time and cost associated with patent prosecution.
- Predictive analytics for patent prosecution. AI-driven analytics tools now predict the likelihood of patent application approval based on various factors, including the technological field, cited prior art, and the patent examiner assigned to the application.
You can use these insights to tailor your prosecution strategy, such as which arguments might be more effective in responding to office actions or when it might be advantageous to pursue the patent examiner.
- Docketing and deadline management. The management of patent prosecution dockets and deadlines is critical yet cumbersome. AI-powered docketing systems can automatically update case timelines based on correspondence from patent offices, remind you of upcoming deadlines, and prioritize tasks based on urgency and importance.
Benefits of using AI in patent prosecution
As you navigate the complexities of securing patent rights for your clients’ innovations, you can use AI to provide strategic advantages in efficiency, accuracy, and overall effectiveness. Here are some benefits of using AI patent prosecution:
- Efficiency in patent searches
With the help of Machine Learning (ML) and Natural Language Processing (NLP), AI systems can quickly sift through millions of patent documents and non-patent literature to find relevant prior art or technologies.
This not only saves you considerable time but also ensures data quality and increases the identification of critical references that will impact the likelihood of your client being granted a patent.
- Enhanced quality of patent application
By analyzing extensive databases of existing patents, AI tools suggest optimal ways to phrase claims and describe your clients’ inventions, ensuring that the application is clear, comprehensive, and aligns with best practices.
AI video tools can also help you create videos that demonstrate how your client’s invention works. This makes it easy to convince the examiner that the invention is unlike anything that already exists.
- Fewer errors and inconsistencies
AI-powered tools can help identify potential errors or inconsistencies in a patent application before submission. By identifying and fixing these issues early, you can avoid unnecessary delays or rejection from the patent office.
- Personalized strategy development
AI analyzes data specific to patent examiners, art units, and the technology field of an invention to help you optimize your prosecution strategy. Understanding trends and patterns is how certain examiners and art units handle applications, so you have to customize your approach to align with what is most likely to result in a successful outcome for your client.
- Dynamic response to office action
Responding to office actions can be time-consuming. AI helps streamline this process by analyzing the examiner’s objections and prior art references or technologies to suggest the most effective arguments.
This accelerates the preparation of your response, makes your application more persuasive, and increases the chances that your client’s invention will be patented.
How to implement AI ethically into patent prosecution and litigation
There’s a lot of controversy around the topic of including artificial intelligence in legal processes. As a patent lawyer seeking to use AI in the patent prosecution process, it’s perfectly reasonable that you’re concerned about doing this ethically.
Here are a few ways you can ensure that AI serves the interests of justice, fairness, transparency, accountability, and respect for privacy without compromising ethical standards or the rights of individuals:
- Check for transparency
Make sure that the AI tools you use in patent prosecution and litigation are transparent about how they operate. Many AI tools, though helpful, exhibit logical fallacy, including the most popular AI tool in the market right now, ChatGPT.
The developers of this tool, however, clearly state that ChatGPT makes mistakes.
So if you’re using ChatGPT to improve a patent application, you know to fact-check every information the tool gives you before acting on it.
- Safeguard privacy and confidentiality
In patent prosecution and litigation, confidentiality and the protection of sensitive information is paramount. Ensure that the AI tools you use adhere to the standards of data security and privacy protection in the country you reside in. This includes the anonymity and security of any data used to train or operate the AI system.
Also, be transparent with your clients about how their data is used and obtain necessary consent for data processing in compliance with relevant privacy laws and regulations.
- Promote fairness and avoid bias
AI systems can inadvertently perpetuate or even exacerbate biases present in their training data, leading to unfair outcomes. Therefore, you must actively work to identify and mitigate bias in any information you get through these systems.
This involves selecting AI solutions that are developed with diverse datasets and tested for biases across different groups, and fact-checking information before using it to draft an application.
- Maintain accountability
While AI plays a supportive role in decision-making, the ultimate responsibility for decisions made during patent prosecution and litigation should rest with you, the patent professional.
This means that you’re accountable for how you use AI tools and the information they give you. You should establish clear guidelines for AI use within your practice, including human oversight mechanisms to monitor AI’s impact and address any issues or errors that pop up.
Considerations to make before using AI for patent prosecution
When considering using AI for patent prosecution, there are several factors you need to take into account to ensure that the process is not only effective but also aligns with legal standards and ethical considerations. Here are some things to consider:
- Accuracy and relevance of AI-generated searches. As mentioned earlier, many AI tools, including ChatGPT, give inaccurate information sometimes. So when using an AI tool for the patent prosecution process, ensure that it has a proven track record of accurately identifying relevant prior arts and technologies.
- Compliance with legal standards. Ensure that the AI tool you use complies with the patent laws of the jurisdictions in which you are seeking protection. This means it must be capable of addressing specific legal requirements related to novelty, inventive steps, and sufficiency of disclosure.
- Integration with human expertise. An AI system exists to augment human expertise in patent prosecution and litigation—not replace it. So don’t leave all the work to AI systems. Instead, take a collaborative approach where AI simply enhances the breadth and efficiency of your research and analysis process. You, the professional, are ultimately responsible for applying critical judgment and strategic decision-making.
- Training and user adoption. If you’re just using AI systems in your work for the first time, you (and your team, if you have one) will likely need some training to help warm up to new technology and adopt the tool(s) faster. This training should also cover how and when to use AI tools to optimize the patent prosecution process.
- Costs and Return on Investments (ROI). Some AI tool subscriptions can be expensive, especially if you’re operating a small business and/or have a tight budget. So before using AI, figure out how much it’s going to cost—including the initial investment, recurring costs, and the potential ROI.
Also, consider if and how AI tools can help you save time and resources, improve patent quality, and provide a competitive edge.
- Regulatory approval and ethical considerations. You must stay informed about any regulatory requirements or ethical guidelines specific to the use of AI in patent prosecution within your jurisdiction.
The future of AI in patent prosecution
There’s a good chance that, in the future, AI will significantly transform how patents are searched, drafted, and prosecuted. This is more than just the development of new AI tools—it’s about reshaping the landscape of intellectual property protection.
Here are some ways that AI will affect the future of patent prosecution:
- Cross-jurisdictional strategy and compliance. As AI tools become better at navigating the intricacies of different patent systems worldwide, it will simplify the process of filing and prosecuting patents in multiple jurisdictions. AI will likely do this by automating the adaptation of applications to meet the specific legal requirements of different countries.
- Interactive and user-friendly interfaces. The interfaces of AI tools will likely become more intuitive and immersive in the future. AI developers will possibly incorporate virtual reality (VR) and/or augmented reality (AR) to help you visualize patent data and analytics in new ways.
- Evolving legal and ethical frameworks. As AI becomes increasingly integrated into the patent prosecution process, it will likely become more expedient to address biases, ensure data privacy, and maintain the integrity of the patent system. This means that AI tools will hopefully generate less biased and more inclusive information.
- Democratization of patent services. The cost of patent prosecution will likely decrease as AI-driven tools become more widespread. This will make the process more affordable for small and medium-sized enterprises (SMEs) and individual inventors.
- Customization and personalization. As you interact with AI systems and use them in your patent prosecution process, they will learn from your prompts and will eventually be able to provide customized support and assistance.
This assistance will cover everything from searching for information and drafting an application to offering strategic advice that will help you get successful outcomes for your clients.
Use AI to improve patent prosecution and litigation
Using artificial intelligence in the patent prosecution and litigation process doesn’t have to be difficult or unethical. Once you fact-check all the information that AI tools give you and ensure that your clients’ data is protected when you use the tools, you’ll find that these systems are effective at helping you streamline your workflows, improve accuracy, and enhance decision-making.
If you’re looking for an AI tool to help you draft patent applications, look no further than PowerPatent. With this tool, patent professionals can write and analyze thorough and efficient patent applications in minutes. This eliminates repetitive processes and frees up time for patent lawyers to focus on more creative work.
Want to check out PowerPatent? Request a demo today!
