Mastering Claim Construction with LLMs: Refining the Framework and Expanding the Knowledge Base
How practical experience and AI can work together to evolve beyond simple analysis into an expert-level knowledge asset
Building on the previous post, this time I focused on refining the claim construction framework and expanding the surrounding knowledge system.
In the previous post, I supplied additional practical heuristics that I had separately compiled from experience and instructed the model to compare and verify them against the existing case law analysis. The framework I asked it to review was the “Five-Step Claim Construction Framework under Korean Case Law.”
As a result, I received a favorable assessment regarding its consistency with the case law, along with suggestions for areas that still needed improvement. The purpose of this stage was not simply to add more information, but to verify whether the existing framework was sufficiently supported for practical use and systematically reinforce the parts that were still lacking.
1. Method of Knowledge Expansion: “Turning Results Back into Sources”
The key method used in this round of work was as follows.
- Save meaningful analytical outputs generated during the conversation as NotebookLM Studio notes
- Convert those notes back into sources and reinject them into the existing knowledge base
In other words, instead of merely consuming answers, this creates a structure in which useful outputs are continually accumulated, refined, and converted into knowledge assets. As this process repeats, the LLM gradually comes closer to functioning like a case-specific expert model.
2. Results of Framework Validation: Strong Structure, but Foundational Legal Support Still Needed
Based on an analysis of 23 sources, the five-step claim construction framework I had previously developed was confirmed to be a highly sophisticated and practical structure. At the same time, however, NotebookLM pointed out several important issues.
The current source set is overly concentrated on specialized issues such as product-by-process claims, numerical limitation inventions, and the fifth requirement of the Japanese doctrine of equivalents. As a result, while the framework’s overall skeleton is strong, the general body of Korean case law needed to support that structure is still relatively thin.
3. Summary of Areas Needing Reinforcement by Step
(1) Steps 1–2: The Lexicographer Rule
- Current status: The principle that claim terms may be interpreted according to definitions in the specification is partially reflected, but there is not yet enough explicit discussion of the lexicographer rule itself.
- What needs to be reinforced: The requirements for recognizing the rule and the level of “clarity” needed to displace the ordinary meaning of a term.
- Further research direction: Supreme Court decisions and academic materials analyzing the standard for clear claim-term definitions.
(2) Step 3: Interpretation of Functional Claim Language
- Current status: The possibility of narrower interpretation is partially reflected, but the applicable standard remains unclear.
- Core issue: It is difficult to determine when the general rule of literal interpretation should apply and when an exception permitting narrower interpretation should be recognized.
- Further research direction: A comparison of cases that accepted limiting interpretation versus those that rejected it, with emphasis on the underlying factual circumstances.
(3) Step 4: Prosecution History and Estoppel
- Current status: Some recent issues are well reflected, but the broader doctrine of prosecution history estoppel is still underdeveloped.
- Core issue: Compared with Japanese authorities, there is still not enough Korean case law grounding.
- Further research direction: Leading cases on conscious exclusion and estoppel, decisions addressing the full course of prosecution responses, and whether the dedication doctrine has been recognized in Korea.
(4) Step 5: AER and the Doctrine of Equivalents
- Current status: The explanation of the all-elements rule (AER) is still very limited, and the criteria for applying the doctrine of equivalents are only summarized at a high level.
- Core issue: There is still a lack of practical, case-usable standards for application.
- Further research direction: Cases involving omission-type infringement and indirect infringement, standards for determining whether the same problem-solving principle is present, and the way prior art should be considered.
4. An Important Insight: “Special-Issue Data Is Actually a Strength”
One interesting takeaway is that, despite the gaps noted above, a substantial portion of the current sources focuses on high-difficulty issues such as product-by-process claims, numerical limitation inventions, and in-depth Korean and Japanese doctrine-of-equivalents cases. That is not a weakness. If anything, it is a strength. Most practical frameworks cover only the general rules and tend to break down when they encounter specialized issues.
5. Proposed Expansion of the Framework
Taking that into account, the existing five-step structure could be expanded as follows.
“Step 6: Interpretation of Special Claim Types (PBP Claims and Numerical Limitation Inventions) and the Limits of Applying the Doctrine of Equivalents”
Adding this step would allow the framework to evolve beyond a simple theoretical summary into a practice-oriented structure capable of handling high-complexity cases.
6. Supplementing the Proposed Sources and Closing Remarks
I copied the reinforcement points identified above directly back into NotebookLM’s source window and then activated the deep research function to gather additional case law and doctrinal materials that had been missing. Through this process, I was able to strengthen the weaker parts of the existing framework and expand the knowledge base in a more balanced way.
What This Stage Ultimately Accomplished
- Verified the structural completeness of the framework
- Identified areas where doctrinal support was still weak
- Confirmed the existing knowledge bias (specialized issues vs. general doctrine)
- Established a repeatable process for knowledge expansion
In claim construction, what matters is not simply gathering a large volume of materials, but whether the framework is actually built to digest and organize those materials effectively. Strong results come less from the model itself and more from the design of the knowledge structure and the reinforcement process.
