This seminar introduces the latest AI solutions for streamlining patent search and analysis work, and explains how to implement them in practice.

**1. Streamlining Patent Review and Analysis with Patentfield AIR**

In the first half, we will introduce Patentfield AIR, a patent search and analysis system powered by generative AI. We will explain how AI can reduce work that has traditionally taken experts a great deal of time. It does this by reading and summarizing large volumes of patent documents, assigning classifications based on your company's own criteria, and carrying out analysis.

**2. Case Study: Building an "IP AI Agent" with MCP**

In the second half, we will present advanced generative AI use cases enabled by Patentfield's API Integration Service. We will walk through a case study of building an "autonomous IP AI agent." This agent uses the increasingly popular Model Context Protocol (MCP) to seamlessly connect Patentfield's patent database with large language models (LLMs).