# AI, Machine Learning & Generative AI

We identify the technical contribution in AI and machine learning systems by examining the path from input to output. Improvements in training, inference and implementation are assessed against earlier approaches and the technical effects they produce.

Source: https://www.iplexlaw.co.kr/en/expertise/ai-software/generative-ai

HOME / TECHNOLOGY / IN DEPTH TECHNOLOGY / IN DEPTH AI, Machine Learning & Generative AI We identify the technical contribution in AI and machine learning systems by examining the path from input to output. Improvements in training, inference and implementation are assessed against earlier approaches and the technical effects they produce. WHAT WE REVIEW Key technical and IP issues 01 Review data selection, cleaning and augmentation together with model architecture, loss functions and training order. 02 For LLMs and RAG, examine retrieval, ranking, context construction, tool calls and response validation. 03 Document implementation-linked effects such as latency, memory consumption and error reduction, as well as accuracy. Information to support the initial review Model and data-flow diagrams Comparison of baseline and improved approaches Experimental setup, metrics and results You can begin a discussion before all the documents are available. Your development stage and planned disclosures help us establish priorities and agree the scope of work. Turning technical analysis into an IP plan Our technical analysis guides prior art searches, filing strategy, prosecution and rights analysis. We agree the scope, deliverables and timetable for each engagement. ↗ AI patents in depth ↗ Disputes & appeals ↗ Column: Claude Computer Use and the Data That Trains AI Agents TALK TO IPLEX Discuss the features that set your technology apart. Discuss this technology ↗ ↗ AI & Software Patents 01 / IN DEPTH AI, Machine Learning & Generative AI We identify the technical contribution in AI and machine learning systems by examining the path from input to output. Improvements in training, inference and implementation are assessed against earlier approaches and the technical effects they produce. Explore this technology ↗ 02 / IN DEPTH Data Analytics, Platforms & UI We assess the processing behind a digital service: data collection, transformation, storage, retrieval, access control and server interactions. This helps identify patent issues, while the visual interface is considered separately for design protection. Explore this technology ↗ 03 / IN DEPTH Medical AI & Digital Therapeutics We analyze medical data, algorithms and the systems in which they operate to identify the technical contribution. Patent assessment is distinct from clinical validation or regulatory review, each of which calls for its own evidence. Explore this technology ↗

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