With the evolution of AI and automation technologies, patent drafting software has emerged as a tool that may be used by patent agents and attorneys. However, there are several things to consider when choosing and evaluating patent drafting software, such as accuracy, natural language processing, customization, integration, collaboration, and compliance with patent laws, which are vital for producing legally robust patent applications.

The emergence of artificial intelligence opened the door for countless new applications and tools, including AI tools for patent drafting, automated patent drafting, and AI patent drafting assistants. For example, AI may be used to assist with various tasks throughout the patent drafting process, including invention disclosure form creation, analysis, and enhancement; patentability reviews and assessments; and drafting applications.

Solve Intelligence introduces an AI-enhanced document editor that streamlines patent drafting by filling in invention disclosure gaps and preempting competitor workarounds, ensuring comprehensive and robust patent applications.

Solve Intelligence's AI software now automatically configures itself from provided patent examples to adopt their unique drafting style, enhancing personalization and streamlining the patent drafting process for attorneys.

Solve Intelligence leverages advanced AI to enhance patent proofreading and analysis, offering detailed comments for higher quality, enforceable patents.

Solve Intelligence's AI-enhanced document editor streamlines patent drafting by automating the integration of technical drawings and reference labels into the specification, offering a precise and efficient approach to patent drafting.

Boosting patent drafting efficiency by 40-60%, Scale LLP uses Patent Copilot™ to enhance quality, streamline workflows, and more.

Who invested in us. Where we’re going.

Key insights from the 2023 Robot Patent Drafting Conference emphasize the importance of confidentiality in AI integration, the necessity for adaptable AI approaches, and acknowledge a notable 5x efficiency increase over the last 18 months, indicating a pragmatic shift in AI-driven patent law.