Professionals working with patent data face an ever-growing challenge: keeping up with the sheer volume of new information. Each week, more than 100,000 new patent documents are published worldwide. For R&D teams and IP departments, reviewing and analyzing this data is time-consuming and difficult to manage without the right tools.
To make this process more efficient, we have developed a set of AI-powered features to support different stages of the patent workflow. Together, they form the IamIP AI Toolkit: a collection of intelligent tools designed to reduce manual effort, increase consistency, and make complex information easier to understand and organize.
Our toolkit includes four core features: the AI Patent Categorizer, AI Patent Summarizer, AI Claim Clarifier, and AI Tagger. Each one addresses a specific challenge in the patent review process, helping users prioritize, interpret, and collaborate more effectively across their daily tasks.
1. AI Patent Categorizer: Faster Monitoring, Smarter Focus
Patent monitoring is essential for companies that want to track innovation, spot competitive risks, and protect their own developments. But manually reviewing thousands of new documents each week isn’t practical. The AI Patent Categorizer was developed to address exactly this issue.
Co-developed with our long-time client Sartorius, this feature automatically sifts through the database and automatically identifies the most relevant documents. It is using a binary relevance score (1 or 0) combined with an AI-generated confidence rating. The system analyzes multiple parts of each document, including title, abstract, claims, and description, to determine its fit for your defined technology area.
The best part? The model can be fine-tuned based on your own monitoring feedback, improving relevance with every iteration.
After being used by multiple clients, it demonstrated:
- Up to 80% time savings in weekly categorization
- Over 90% accuracy in identifying relevant documents
- 24/7 operation, removing dependency on manual availability
The AI Patent Categorizer helps you cut through the noise and focus only on what matters.
2. AI Patent Summarizer: Understand More in Less Time
Reviewing patents manually is time-consuming, hard to prioritize, and often inconsistent across teams. The AI Patent Summarizer addresses these pain points by automatically generating clear, technical summaries of patent documents.
The summaries are generated by a dedicated large language model trained to work with patent documents. The model focuses the descriptions of a patent and it offers an executive-style technical summary to help you quickly assess whether a document is relevant.
Users can:
- Enter a list of patents
- Automatically receive summaries for complex documents
- Prioritize which documents need more detailed review
Time & Cost Savings Backed by Real Data
The AI Patent Summarizer saves users an average of 15 minutes per patent review. That translates to approximately 25 hours per month, or more than three full working days saved for each user.
With patent experts typically billing between 100 and 130 EUR/hour, this amounts to monthly savings between 2,500 and 3,250 EUR per person. These efficiency gains not only benefit individual users but also drive measurable returns at the organizational level.
Performance According to Users
- 75% of users say the summaries are the “right length”, concise yet informative.
- 91% say the summaries accurately reflect key technical aspects.
- 75% find them easy to understand.
The AI Patent Summarizer brings consistency and clarity to patent review, especially in environments where time and resources are limited. Whether you’re prioritizing new monitoring results, sharing summaries across teams, or trying to quickly assess unfamiliar technology, the AI Summarizer delivers consistent and understandable results.
3. AI Claim Clarifier: Making Patent Language Accessible
Patent claims define the legal protection granted by a patent, but their wording can be difficult to interpret, especially for teams without a legal background. The AI Claim Clarifier bridges this gap by adding context-specific definitions drawn directly from the patent’s own description.
Instead of rewriting or simplifying the claim (which could lead to misinterpretation), this tool keeps the claim text intact and supplements it with carefully matched explanations. These definitions appear in real time, right next to the claims.
Key benefits include:
- Fewer errors in interpreting technical or legal terms
- Less back-and-forth between claims and descriptions
- Increased understanding for R&D, legal, and non-legal users
- Improved collaboration, with shared saved definitions and glossary creation
According to early users:
- 92% said the definitions were clear and helpful
- 87% found it saved time
- 85% said it made complex claims easier to understand for non-legal colleagues
The AI Claim Clarifier supports everything from FTO assessments to internal knowledge-sharing, making claims easier to work with for everyone involved.
4. AI Tagger: Faster, Smarter, and Automated Patent Monitoring
Tagging patents according to internal categories, such as products, technologies, or projects, is an essential but time-consuming part of the monitoring process. The AI Tagger was developed to automate this step, ensuring that every patent is consistently classified according to your company’s taxonomy.
The AI Tagger uses an advanced model trained on your organization’s tag tree. It automatically scans each new patent and assigns the appropriate tags, ensuring accuracy and consistency across teams. This makes it easier to build a structured and searchable knowledge base that reflects your company’s unique focus areas.
By automating this process, the AI Tagger helps reduce manual effort, improves data quality, and frees experts to focus on more strategic tasks. When combined with Smart Rules, it can even trigger automatic distribution of patents to the right experts, bringing your workflow closer to full end-to-end monitoring automation.
Key benefits include:
- Time saving – Instant tagging reduces manual workload.
- Consistency – Tags are applied uniformly across all documents and projects.
- Improved collaboration – Patents reach the right experts faster.
- Business continuity – Tagging continues automatically without resource bottlenecks.
- Quality improvement – The AI Tagger analyzes entire documents, capturing even subtle technical details.
The AI Tagger complements other tools in the toolkit, such as the AI Patent Categorizer, to deliver a fully automated and intelligent monitoring experience. Together, they streamline processes, minimize human error, and create a faster, more reliable way to handle patent information.
Final Thoughts
Working with patents doesn’t need to be slow or overwhelming. With our AI Toolkit: comprising the AI Patent Categorizer, AI Patent Summarizer, AI Claim Clarifier, and AI Tagger, you can manage patent-related tasks more efficiently, accurately, and collaboratively.
Each feature was developed to address a specific challenge:
- Categorizing large volumes of new patents
- Summarizing complex technical content
- Clarifying intricate legal language
- Tagging patents to your internal taxonomy for structured, automated workflows
Used together, these tools enable teams to review patents faster, share insights more easily, and make better decisions without adding to their workload. Whether you’re in R&D, legal, or IP strategy, the IamIP AI Toolkit helps you stay focused on the work that truly matters.
