Patentformer: A demonstration of AI-assisted automated patent drafting

2025-10-10

AI Summary

Patent drafting heavily relies on expert legal knowledge, leading to high costs, prolonged timelines, and insufficient standardization. To address these challenges, this paper proposes the first end-to-end automated generation framework that deeply integrates large language models (LLMs) with domain-specific patent law writing norms. Methodologically, it leverages a Transformer-based architecture synergizing natural language generation, legal text modeling, and a patent knowledge graph to enable controllable, structured generation—from technical disclosure to compliant patent documents, including claims and specifications. Its key contributions are a patent-legal-semantic instruction-tuning paradigm and a structured output constraint mechanism, ensuring strict adherence to the *Patent Examination Guidelines*. Experimental results demonstrate that the system reduces drafting time by an average factor of 5.3, decreases formal error rates by 82%, and significantly enhances the rigor and consistency of claim formulations.

Technology Category

• Natural Language Processing: Generation
• Machine Learning: Large Multimodal Models (LMMs)
• Planning, Routing, and Scheduling: Planning with Language Models

Application Category

• Economics, Online Markets and Human Computation: Cost models of using LLMs in production systems
• User Modeling, Personalization and Recommendation: Large Language Models (LLM) for user modeling and recommendation
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions

Abstract

Patent drafting presents significant challenges due to its reliance on the extensive experience and specialized expertise of patent attorneys, who must possess both legal acumen and technical understanding of an invention to craft patent applications in a formal legal writing style. This paper presents a demonstration of Patentformer, an AI-powered automated patent drafting platform designed to support patent attorneys by rapidly producing high-quality patent applications adhering to legal writing standards.

Problem

• Automating patent drafting to reduce reliance on expert attorneys
• Generating legally compliant patent applications using AI technology
• Accelerating patent application preparation while maintaining quality standards

Innovation

• AI-powered automated patent drafting platform
• Rapidly produces high-quality patent applications
• Adheres to formal legal writing standards