In addition to working with clients on patenting a broad range of technology including machine learning and artificial intelligence frameworks, we are always looking to improve our processes and workflows using technology and familiarize ourselves with the latest developments. Here are some examples of some recent experiments we have performed.
Please keep in mind that these are experimental and not production ready code. Also, do not enter any confidential information. Use is subject to the terms and conditions of this site as well as the OpenAI API policy. We have also been experiencing some downtime — if you receive an error or timeout message, please try again.
A vector index of the Trademark Manual of Examining Procedure. LLAMA was used to create an index; you can then ask questions of the document. An example of how one can index their own set of documents and pass results to large language models (LLMs).
A vector index of MPEP sections 700 and 2100. LLAMA was used to create an index; you can then ask questions of the document.
Helps rewrite a patent application title or create one based on a description, aiming for a title which complies with USPTO practice.
Takes a short passage of text, identifies nouns in the text, and expands the description.
Extracts patent citations from text and creates links to the extracted patents.
Attempts to extract case citations from text.