AI patents: If you don't know 'this,' you'll regret it 100% (Registration requirements, costs, and success strategies comprehensive)

Pine IP Firm

June 8, 2025

We are truly in the era of AI (artificial intelligence). The generative AI boom sparked by ChatGPT is transforming the industrial landscape, and now AI technology has become a key measure for a company's survival and future.

Numerous companies and startups are fiercely competing to develop innovative AI models and services to capture the market. However, in this situation, many CEOs and developers tend to overlook something. right away Technology Protection, in other words, AI patents.

"How can the AI algorithms we developed be legally protected?"
"I understand that AI technology can be patented, but what exactly and how should we prepare for it?"

To help you address these concerns, Pine IP Firm has prepared an in-depth guide covering everything about AI patents.

1. Why should AI patents be secured immediately?

It's not just to claim that it's our technology. AI patents become a powerful weapon for companies.

Securing Monopoly Market Dominance: A patent grants exclusive and exclusive rights to the registered technology for a certain period. It prevents competitors from launching similar AI services, allowing you to capture the market and create a stable revenue structure.

Maximizing Corporate Value: A well-built AI patent portfolio is a powerful intangible asset in itself. It plays a decisive role in attracting investment (VC), M&A, and technology transfer, increasing corporate value by tens or even hundreds of times.

Means of Countering and Defending Against Competitors: If competitors secure patents first, our company risks getting caught up in patent infringement lawsuits. AI patents are spears for offense and the strongest shield for defense.

Proving the reliability of the technology: Passing the rigorous examination by the Patent Office means that the originality and excellence of the AI technology have been recognized by the government. This instills strong trust in customers and investors.

2. What can be registered as an AI patent?

Many people mistakenly believe that AI algorithms are mathematical principles and therefore cannot be patented. That's only half true. Depending on how AI technology is concretized and expressed, it can be a subject of patents.

The core protection targets for AI patents as seen by Pine IP Firm are as follows.

Category	Description	Example
1. AI Models/Algorithms	Core operating principles of AI: unique neural network structures, learning methods, loss functions, and more to solve specific problems	- New GAN architecture for image noise removal - Lightweight deep learning models optimized for specific data - A new backpropagation algorithm that dramatically improves learning speed
2. AI Application Technology (BM Patent)	Systems and methods for applying AI technology to specific industries (domains) to create concrete value	- AI-based real-time medical image reading system - Marketing automation platform utilizing AI for predicting customer churn - Natural language processing-based legal document analysis and summarization services
3. Data Pre/Post-processing Technology	Innovative data purification, augmentation, processing, and result data visualization technologies to maximize AI model performance	- Preprocessing technology that improves the quality of low-quality data - Data augmentation techniques that effectively increase insufficient training data - Technology that processes AI analysis results so users can intuitively understand them

The core is How computer-based information processing organically combines with solving challenges in specific technical fieldsIt clearly demonstrates the above points.

3. Three hurdles in AI patent registration

AI patents have very strict examination criteria at the Patent Office due to their unique characteristics compared to typical inventions. In particular, meeting the following three requirements is key.

Hurdle 1: Feasibility (Invention of computer software)

The idea should not be limited to simple sales methods or mathematical formulas, but should demonstrate that software and hardware (computers) combine to perform specific information processing. AI technology basically meets this requirement, but this part must be clearly stated when preparing the specification.

Hurdle 2: Novelty

The AI technology you want to apply for New technology that has never been revealed to the worldIt should be so. This is why patent applications must be filed before papers, conference presentations, blog posts, or product launches. At Pine IP Firm, we conduct thorough prior art searches before filing to precisely diagnose the likelihood of registration.

Hurdle 3: Progressiveness - The Most Important!

This is the part where the most common grounds for rejection occur in AI patent examination. Inventiveness means that ordinary engineers in the field cannot easily come up with from existing known technologies.

Simply applying the existing AI model A to the field of B is difficult to recognize as progressive. The following technical effects must be demonstrated with concrete data and logic.

Improved accuracy/performance: 15% improvement in prediction accuracy compared to existing technologies
Speed/Efficiency Improvements: Data processing time reduced by 30%, memory required reduced by 50%
Creating new features/applications: Providing new analytical capabilities that were previously impossible

Logically embedding these quantitative and qualitative effects in patent specifications is the core competency of AI patent specialists.

4. AI Patents: The Four-Step Strategy for Pine IP Firms for Success

At Pine IP Firm, we successfully rights our customers' valuable AI technologies through the following systematic four-step process.

Step 1: Specification of the invention and analysis of prior art

AI patent attorney 1:1 in-depth consultation: Listen to clients' ideas and jointly derive key points of patents.
Specifying Invention Details: Redefine conceptual technology into specific configurations (flowcharts, data structures, system diagrams, etc.) to meet patent requirements.
Strategic prior art research: Comprehensive domestic and international patent and paper databases to increase the likelihood of registration and develop strategies to avoid competitor patents.

Step 2: Prepare a Patent Specification That Sells Well

Fusion of Technology and Law: Based on a deep understanding of AI technology, we build legal logic that can persuade examiners.
Maximizing Technical Effectiveness: To demonstrate the advancement mentioned earlier, the technical effectiveness of the invention is clearly and strongly appealed through specific figures and examples.
Broad and Robust Scope Design: Considering not only current technology but also potential for future expansion, we design a broad and robust scope that competitors cannot easily avoid.

Step 3: Handling the application and examination process

Fast and accurate application: Based on the completed specification, we promptly file with the Patent Office to secure the legal status (filing date) of the customer's technology.
Submission of aggressive opinions/amendments: Regarding the reasons for refusal (notification of opinion) arising during the review process, accurately understand the examiner's logic and submit arguments and amendments to logically refute them, maximizing the likelihood of registration.

4. Final Registration and Rights Management

Final registration and annual fee management: After the patent registration decision, we handle the registration procedures and annual fee management to ensure stable rights maintenance.
Patent portfolio consulting: Based on registered patents, we provide ongoing IP management strategies such as follow-up R&D directions, technology valuation, and competitor trend analysis.

Leave your AI skills to the experts.

AI patents are no longer optional but essential. It is the most reliable insurance for winning fierce technology wars and a core asset that guarantees a company's future value. AI patents, which require understanding both the complexity of AI technology and the expertise of patent law, are by no means an easy field. Patent attorneys who do not understand AI technology miss the core of their inventions, and developers unfamiliar with patent law cannot properly represent their skills.

Our Pine IP Firm is a group of experts covering both technology and law, with numerous successful cases of AI and software patent registrations. We will be your strongest and most reliable legal partner so that your great AI technology can set the world standard.