# Artificial Intelligence Patents & IP Strategy

AI and software patent counsel in Korea, grounded in technical analysis of LLMs, RAG, agents and industrial AI. Prosecution, portfolio strategy and IP risk review.

Source: https://www.iplexlaw.co.kr/en/ai-patents

AI PATENTS & IP STRATEGY AI patent counsel. Grounded in the technology. Focused on your business. We start with the technology: data, model architecture, training, inference and deployment. That analysis informs application drafting, prosecution, portfolio strategy and our assessment of third-party rights. Discuss your AI technology ↗ ↗ Professional experience 2025 Korea University startup program · team mentoring on commercialization and patents Photo: Yongduck Kim mentoring a startup team Industry experience LLMs & agents Technical review Experience Publications Columns & analysis Preparation FAQ AI & SOFTWARE / INDUSTRY EXPERIENCE AI patent experience across industries. Clients we have represented. Our AI and software patent practice spans education, healthcare, manufacturing, generative AI and robotics. Below, we outline the technologies we have worked on and the clients we have represented in each sector. 01 / INDUSTRY Education & EdTech Our patent work in education has covered AI for educational content analysis and adaptive learning, including learning-data processing and the systems that support these services. Curea Turing Vollab IEA 02 / INDUSTRY University AI research We have handled patent applications arising from university research in AI and machine learning, identifying inventive contributions and drafting specifications and claims. Sookmyung Women’s University, Department of Artificial Intelligence Daejeon University, Department of Artificial Intelligence 03 / INDUSTRY Medical AI & digital healthcare Our healthcare patent work has involved AI used in medical data processing and analysis, digital therapeutics, and software for treatment and health management. HAII Alicore 04 / INDUSTRY Industrial AI, manufacturing & construction We have handled patent matters concerning AI for condition monitoring, anomaly detection and operational optimization in livestock farming, construction and manufacturing. This work has included sensor-data analysis, control technologies and decision-making systems. MtreSen T&Blue Lab Decopia Enmetric LLC AI Nation 05 / INDUSTRY Computer vision, imaging & signals Our patent work in computer vision and signal processing has covered AI for recognizing objects and their states in images and analyzing digital signals. We have worked on processing architectures spanning data preprocessing, inference and the use of model outputs. Cubeberry GiiOii UOK UnAI 06 / INDUSTRY Generative AI, LLMs & RAG We have handled patent matters for LLM-based services, covering the selection of retrieval sources, context assembly, integration with external tools and verification of generated outputs. Logos AI 07 / INDUSTRY Communications, robotics & finance Our work includes patent matters in communications and robotics, alongside AI and software matters in financial services. The technologies involved include control logic, network architectures and financial data processing. SunwaveTec FixDimension Korea Robotics Jeju Bank 08 / INDUSTRY Games, content & platforms We have handled IP matters for games and digital content services, with work covering server-side and client-side processing, interfaces and content-delivery software. Abutton Experience gained at previous firms Industrial data & anomaly detection MakinaRocks · BISTel Medical imaging, machine vision & satellite imagery VUNO · SUALAB · SI Analytics AI, software & games SELVAS AI · Baidu · Xiaomi · Tmax group companies · Netmarble · Kakao Games UI/UX and software prosecution LG Electronics · Samsung Electronics LLM · RAG · AI AGENTS Identify the invention within the AI system. Different inventions can build on the same underlying model. We examine the data flows, processing steps and controls that distinguish your implementation and the technical effects they produce. 01 Retrieval and input Assess the inventive features in retrieval selection, reranking, filtering, context construction and preprocessing. 02 Model and system integration Analyze how the system provides information to the LLM and coordinates external APIs and tools. 03 Agent execution control Examine how an agent selects tools, sequences tasks and handles approvals, failures, retries and exceptions. 04 Verification and use Assess how verification and correction affect downstream operations and the system's technical performance. Discuss your AI technology ↗ WHAT WE EXAMINE Define the technical contribution. Build the patent strategy around it. We look beyond the model name to identify potentially patentable features, the technical effects they produce and the disclosure needed to support the claims. 01 Data & preprocessing We examine acquisition, selection, augmentation, labeling, preprocessing and feature extraction. Rights in the underlying data are assessed separately from patent protection for the processing technology. What does the data transformation achieve technically? 02 Model architecture & training We assess architecture, training objectives, loss functions, fine-tuning and reinforcement learning, linking performance improvements to the features that produce them. What is new in the model or training process? 03 Inference, RAG & implementation We analyze retrieval and generation, inference paths, memory and latency management, on-device deployment and device control, including improvements built around publicly available models. How do system interactions address existing limitations? 04 Portfolio, FTO & commercialization We analyze prior patents, research literature and your development roadmap to inform portfolio strategy, while keeping protection of your inventions distinct from freedom-to-operate analysis of third-party rights. Which innovations need protection, and which third-party rights need analysis? ↗ Patent prosecution SELECTED TECHNICAL EXPERIENCE Technical experience across AI applications Selected projects undertaken by Yongduck Kim at IPLEX and in his previous practice. 2018 IP analysis for AI and big-data-based smart manufacturing 2019 IP-R&D for an intelligent big data analytics platform 2020 AI medical imaging and biosignal patent analysis; machine-learning RNA IP-R&D 2021 Identifying patentable innovations in industrial AI anomaly detection and optimization 2022 IP-R&D for deep-learning-based radar pedestrian recognition YOUR IP ADVISOR Yongduck Kim Yongduck Kim brings a background in information, communication and electronic engineering to his AI and software patent practice. He holds a B.S. from Soongsil University and passed the 50th Korean Patent Attorney Examination. ↗ Full experience & publications PUBLICATIONS & COMMENTARY Three books on AI patent practice ↗ All nine publications 2025 · Global AI patent strategy OpenAI’s Patent Strategy and the Global AI Patent Race Examines global AI patent strategies, startup IP use and the relationship between patents and open source. CommunicationBooks · 2025-05-23 · ISBN 9791143002167 ↗ Read publication news View book ↗ 2024 · AI patent protection Strategies for Securing AI Patents Explores patent considerations across data, preprocessing, training, network modules and AI applications. CommunicationBooks · 2024-07-12 · ISBN 9791128890598 ↗ Read publication news View book ↗ 2022 · AI patent examination A Practical Guide to AI Patent Examination A guide to patent examination practice for AI technologies. ePurple · 2022-08-19 · ISBN 9791139005530 ↗ Read publication news View book ↗ KNOWLEDGE IN PRACTICE IP education grounded in technology and business Our lectures and mentoring help technology businesses work through the IP decisions that arise during development, protection and commercialization. 2025 Korea University international STEM startup program · mentoring and demo day evaluation Helping technology founders plan their IP strategy ↗ Read about this activity 2023 NH Seed cohort 2 · IP lecture for agritech and food entrepreneurs Applying IP principles to commercialization ↗ Read about this activity COLUMNS & TECHNICAL PERSPECTIVES Published commentary. Technical patent analysis. Search columns and analysis Article type All articles Published columns AI analysis Expand all years 80 articles 2026 22 articles View articles ＋ 2026-10-01 IPLEX FiX: fine-grained forgetting in softmax attention Read article ↗ 2026-09-30 AI ANALYSIS MHAR: Reading earlier layers through different feature subspaces Read article ↗ 2026-09-28 AI Times Column: Claude Computer Use and the Data That Trains AI Agents Read article ↗ Publisher page ↗ 2026-09-17 AI ANALYSIS AI Patents: What Can Be Protected and How to Prepare Read article ↗ 2026-09-15 AI Times Column: Google’s Computer Vision Reinforcement Learning Patent — Learning Rewards, Not Just Answers Read article ↗ Publisher page ↗ 2026-09-08 AI ANALYSIS TROLL Paper Analysis: Token-Level Trust Regions for More Stable LLM Reinforcement Learning Beyond PPO Clipping Read article ↗ 2026-09-03 AI ANALYSIS Understanding the Paper “Agentic Reasoning for Large Language Models” Read article ↗ 2026-09-01 AI Times Column: Google’s Generative AI Reasoning Patent — Teaching the Process of Thinking Read article ↗ Publisher page ↗ 2026-09-01 AI ANALYSIS Why Do LLMs Lose Track as Conversations Get Longer? Read article ↗ 2026-08-26 AI ANALYSIS AgentGym-RL Paper Analysis: Training Long-Horizon AI Agents with Multi-Turn Reinforcement Learning Read article ↗ 2026-08-03 AI Times Column: C3.ai Patents and the Future of Enterprise AI Agents Read article ↗ Publisher page ↗ 2026-07-20 AI Times Column: Google’s Self-Refine Patent — AI That Reviews and Revises Its Answers Read article ↗ Publisher page ↗ 2026-07-07 AI Times Column: Qualcomm’s Generative AI Patent and the Future of Image Outpainting Read article ↗ Publisher page ↗ 2026-06-24 AI Times Column: Google’s AI Patent for Personalized Landing Pages Read article ↗ Publisher page ↗ 2026-06-08 AI Times Yongduck Kim Analyzes the Technical and Legal Implications of Meta’s AI Avatar Patent Read article ↗ Publisher page ↗ 2026-05-26 AI Times Column: Physical AI Patents — Decision-Making Technology in OSARO Logistics Robots Read article ↗ Publisher page ↗ 2026-05-12 AI Times Column: SAP’s Patent for Distinguishing Human and AI Conversations Read article ↗ Publisher page ↗ 2026-04-17 Today Newspaper Column: AI Patent Strategy — Turning Technology into Rights Read article ↗ Publisher page ↗ 2026-04-14 AI Times Column: Generative AI Patents and Research Innovation with EXAONE Discovery Read article ↗ Publisher page ↗ 2026-03-31 AI Times Column: Detecting Audio Transitions — Patents and the Future of Streaming AI Read article ↗ Publisher page ↗ 2026-03-17 AI Times Column: Microsoft’s Multimodal Response Patent and the Future of Conversational AI Assistants Read article ↗ Publisher page ↗ 2026-03-12 AI Times Column: Sony’s “AI Gamer Podcast” Patent and the Future of Gaming Platforms Read article ↗ Publisher page ↗ 2025 24 articles View articles ＋ 2025-12-31 AI ANALYSIS Genetic Algorithms and AI Patent Strategy: Lessons from Industrial Applications Read article ↗ 2025-12-30 AI Times Column: A USPTO Director’s First Signature — Design and Disclosure in AI and Blockchain Patents Read article ↗ Publisher page ↗ 2025-12-16 AI Times Column Published: Agentic AI Patent Analysis Read article ↗ Publisher page ↗ 2025-12-03 AI Times AI Times Publishes Yongduck Kim’s Column on Swarm AI Technology Read article ↗ Publisher page ↗ 2025-10-12 AI Times Column: US AI Patent Eligibility and International Challenges Read article ↗ Publisher page ↗ 2025-08-27 AI Times Patent Analysis Column Published in AI Times Read article ↗ Publisher page ↗ 2025-08-13 AI Times DeepSeek Patent Analysis Column Published in AI Times Read article ↗ Publisher page ↗ 2025-07-24 Electronic Times · ETNEWS AI Patent Analysis Column Published in Electronic Times Read article ↗ Publisher page ↗ 2025-07-23 AI Times AI Times Column: Part 16 Read article ↗ Publisher page ↗ 2025-07-07 AI Times AI Times Column: Part 15 Read article ↗ Publisher page ↗ 2025-06-27 AI Times AI Times Column: Part 14 Read article ↗ Publisher page ↗ 2025-06-20 AI Times AI Times Column: Part 13 Read article ↗ Publisher page ↗ 2025-06-10 AI Times AI Times Column: Part 12 Read article ↗ Publisher page ↗ 2025-05-20 AI Times AI Times Column: Part 11 Read article ↗ Publisher page ↗ 2025-05-09 AI Times OpenAI Patent Analysis by an AI Patent Attorney Published in AI Times Read article ↗ Publisher page ↗ 2025-04-24 AI Times OpenAI Patent Analysis Column by an AI Patent Attorney Read article ↗ Publisher page ↗ 2025-04-15 AI Times OpenAI Patent Analysis 8: AI That Reads and Explains Code Read article ↗ Publisher page ↗ 2025-04-01 AI Times OpenAI Patent Analysis 7: Operating User Interfaces in a Human-Like Way Read article ↗ Publisher page ↗ 2025-03-20 AI Times OpenAI Patent Analysis 6: The Whisper Speech-Recognition Model Read article ↗ Publisher page ↗ 2025-03-11 AI Times OpenAI Patent Analysis 5: Patents Related to DALL·E Read article ↗ Publisher page ↗ 2025-02-28 AI Times OpenAI Patent Analysis by an AI Patent Attorney: Part 4 Read article ↗ Publisher page ↗ 2025-02-21 AI Times OpenAI Patent Analysis by an AI Patent Attorney: Part 3 Read article ↗ Publisher page ↗ 2025-02-17 AI Times OpenAI Patent Analysis by an AI Patent Attorney: Part 2 Read article ↗ Publisher page ↗ 2025-02-12 AI Times OpenAI Patent Analysis by an AI Patent Attorney: Part 1 Read article ↗ Publisher page ↗ 2024 5 articles View articles ＋ 2024-07-05 AI Times Column: IP Rights Transfers for AI Companies — Innovation and Commercialization Read article ↗ Publisher page ↗ 2024-06-25 OhmyNews OhmyNews Column: The Importance of IP Rights Transfers Read article ↗ Publisher page ↗ 2024-06-25 AI Times Column: Unsupervised AI Learning and Patent Cases — Finding Hidden Data Patterns Read article ↗ Publisher page ↗ 2024-06-21 AI ANALYSIS Unsupervised AI Learning: Technology and Patent Case Analysis Read article ↗ 2024-02-06 OhmyNews Column: The Relationship between IP and PPS Excellent Product Designation Read article ↗ Publisher page ↗ 2023 29 articles View articles ＋ 2023-12-18 AI Times AI Times Column: Transformer Patents and Potential Infringement in AI Services Read article ↗ Publisher page ↗ 2023-11-08 AI Times Column: Technology-Based Listings for AI Companies and Technology Business Plans Read article ↗ Publisher page ↗ 2023-09-26 Robot Newspaper Column: Preparing a Technology Business Plan for Special Listing Read article ↗ Publisher page ↗ 2023-07-07 AI ANALYSIS Detecting Aircraft Engine Anomalies with Autoencoders: Honeywell Patent Analysis Read article ↗ 2023-07-05 AI ANALYSIS Smart Factories and Robot Prognostics: ABB Patent Analysis Read article ↗ 2023-07-04 AI ANALYSIS Research Paper Analysis: StarGAN Read article ↗ 2023-07-03 AI ANALYSIS Research Paper Analysis: ResNet — Deep Residual Learning for Image Recognition Read article ↗ 2023-06-30 AI ANALYSIS Improving Deep Learning Performance: Mixup Training and Label Smoothing Read article ↗ 2023-06-27 AI ANALYSIS Facebook AI Paper Analysis: DETR and End-to-End Object Detection with Transformers Read article ↗ 2023-06-22 AI ANALYSIS Equipment Anomaly Detection: MakinaRocks Patents on Autoencoders and Transfer Learning Read article ↗ 2023-06-15 AI ANALYSIS Post-Processing AI Prostate-Cancer Assessments: JLK Inspection Patent Analysis Read article ↗ 2023-06-13 AI ANALYSIS Preventing Overfitting in Medical Imaging AI: VUNO Patent Analysis Read article ↗ 2023-06-12 AI ANALYSIS Preparing Chatbot Training Data: Natural Language Processing Patent Analysis Read article ↗ 2023-06-09 AI ANALYSIS Understanding the Limitations of GAN Models Read article ↗ 2023-06-07 AI ANALYSIS AI for Dementia Analysis: JLK Inspection Patent Analysis Read article ↗ 2023-06-05 AI ANALYSIS Understanding GAN Algorithms Used in Deepfakes Read article ↗ 2023-05-30 AI ANALYSIS SUALAB Patent Analysis: Anomaly Detection Read article ↗ 2023-05-26 AI ANALYSIS Improving Medical Image Analysis with CNNs: Lunit Patent Analysis, Part 2 Read article ↗ 2023-05-25 AI ANALYSIS Improving Medical Image Analysis with CNNs: Lunit Patent Analysis, Part 1 Read article ↗ 2023-05-24 AI ANALYSIS AI for Accident Prevention: Anomaly Detection and Autoencoder Patents Read article ↗ 2023-05-23 AI ANALYSIS AI Preprocessing Technology: JLK Inspection Patent Analysis Read article ↗ 2023-05-18 AI ANALYSIS AI Technology: Understanding Supervised Learning Read article ↗ 2023-05-17 AI Times Column: Yongduck Kim on Securing AI Patents Read article ↗ Publisher page ↗ 2023-05-17 AI ANALYSIS Lunit Patents for AI-Based Medical Image Analysis Read article ↗ 2023-05-15 AI ANALYSIS Predicting Industrial Equipment’s Remaining Useful Life with AI Read article ↗ 2023-05-12 AI ANALYSIS Artificial Intelligence and Patents: Protecting AI Technology Read article ↗ 2023-04-20 AI Times AI Times Column: Preparing for Special Listing under Revised Evaluation Criteria Read article ↗ Publisher page ↗ 2023-02-09 IP Daily IP Daily Column: The Nike Shoe NFT Case Read article ↗ Publisher page ↗ 2023-01-09 IP Daily IP Daily Column: The Hermès Birkin NFT Case Read article ↗ Publisher page ↗ No matching articles. Try a different search. PREPARE YOUR CONSULTATION Tell us about the technical problem. We will help frame the IP issues. You do not need a draft patent application to start the conversation. An outline of your technology, its distinctive features and your development timeline helps us identify the key issues and agree on how to review the supporting materials. Contact the office ↗ 01 Technical problem and limitations of existing approaches 02 Input/output, data processing and model workflow 03 Your technical improvements and comparative test results 04 Planned papers, presentations, launch and disclosures 05 Target countries and development or investment schedule QUESTIONS & ANSWERS AI patents: key questions Can an invention built on a publicly available AI model be patented? + Using a publicly available model does not rule out patent protection. The assessment turns on the specific improvements in processing, integration, control, training or inference, considered against the prior art and applicable disclosure requirements. What information is useful for an initial AI patent discussion? + Bring an outline of the technical problem, data and processing flows, differences from existing approaches, comparative results and any planned disclosures or launch. Relevant papers and patent documents are useful. We can agree how to exchange more detailed materials after the initial inquiry. Does an AI patent application have to disclose all source code and model weights? + There is no universal requirement to disclose all code or weights. The application must nevertheless explain the invention sufficiently, including information necessary to implement its essential features and support the claims. How does patent prosecution differ from freedom-to-operate analysis? + Patent prosecution focuses on securing protection for your technology. FTO analysis assesses third-party rights in specific countries, at a defined time and for a particular product configuration. Owning a patent does not itself eliminate infringement risk. Does IPLEX advise on both generative and industrial AI? + Yes. Our work addresses data processing, training, inference and implementation across generative AI, manufacturing, medical imaging, biosignals and automotive radar. Where can the inventive contribution lie in a RAG system? + It may lie in retrieval selection, evaluation, reranking, filtering, context construction or the transfer of information to the LLM. Distinctive methods of verifying or correcting output also merit analysis. What should we cover when discussing an AI agent invention? + Explain the control flow: tool selection, task sequencing, API execution, user approvals, error handling, retries and output verification. These details help identify the technical contribution and the appropriate scope of protection to consider.

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