The Future of AI-Enhanced
Intellectual Property Examination
CAIPEX is an emerging international scholarly and professional forum dedicated to advancing excellence, reliability, transparency, and innovation in intellectual property examination quality through artificial intelligence, expert collaboration, and next-generation analytical methodologies.
CAIPEX Research Experience
Explore four research experiences: examination-quality diagnosis, layered AI, Markush chemical claims, and Korea–Japan examination-material comparison.
The Future of Examination Quality, Following the Evidence
Experience examination-quality diagnosis research that walks through a fictional case: from gathering case materials and reviewing source-linked evidence, to explicit rule evaluation, UNKNOWN handling, and final human review.
Personas Journeying Through Layered AI
Configure layered functions and multiple personas, then explore — through simulation — how limited personas navigate virtual environments and how their homecoming experiences are verified and curated.
Markush Chemical Claim Examination Research
Adjust the skeleton of a generic formula, its R substituents, and exclusion conditions to observe how claim scope changes. Compare search results against evidence from individual references, and experience the points where human confirmation is needed in novelty and inventive-step review.
Korea–Japan Patent Examination Quality Harmonization Research
Compare Korean and Japanese claim versions, prior art, and applied standards within the same patent family. Examine the reasons behind different examination outcomes, and experience fictional cases that distinguish justifiable differences, insufficient data, and candidates for human re-review.
The experiences on these sites are fictional cases or simulations created to explain research concepts. They do not represent actual examination decisions or measured research results, and results from live AI features are draft analyses for research purposes. “Layers” and “personas” are functional design concepts — not claims about AI consciousness or emotion.
AI & IP Examination Quality
Evidence-grounded Agentic AI research for patent, trademark, and design examination — retrieve, verify, cite, and abstain when unsure.
Global Expert Network
Connecting examiners, scholars, attorneys, engineers, and policymakers across jurisdictions.
Excellence Frameworks
Evaluation standards, quality metrics, and human-in-the-loop best practices for consistent, trustworthy IP examination.