To use your AI tools on your own patent portfolio today, someone has to copy the data out by hand first. You export the claims, paste a reference into Claude or GPT, run the analysis, then key anything worth keeping back into the docket yourself. The tools your team trusts everywhere else can reach almost any system you use, except the one your patents actually live in. Your docket, the families, deadlines, claim charts, and correspondence, sits inside an IP system that only talks to its own interface, so your data goes in and only the vendor's dashboard gets it back out.

That closed loop is strange, because the rest of software has moved. Anthropic released the Model Context Protocol in November 2024 as an open standard for connecting AI assistants to real business systems, and within a year it was backed by OpenAI, Google, and Microsoft. MCP is how a modern AI tool reaches into a system, reads what it needs, and acts on it. That protocol has, until recently, stopped at the edge of your patent data.

ArcPrime closes the gap with an MCP server that connects Claude, GPT, Gemini, or your other favorite AI to your portfolio, with both read and write. Read is the part people expect: ask your own AI tool a question about your real docket and get an answer grounded in your assets. Write is the part that changes the work. Through the same connection, your AI workflow can generate a continuation recommendation, add correspondence to a matter, or launch a prior art search, and have those actions land in the system of record. Your AI tools are no longer limited to reading a report about your portfolio. They can carry out the tasks you direct inside it.

That distinction is where the legacy players stop short. The large IP systems have added AI and will tell you so. Anaqua's recent release ships an AI patent classifier and automatic summaries, and Questel offers a gateway API into its services. Those run the vendor's AI, inside the vendor's walls, on the vendor's schedule. But can the AI tools you already use reach in and do the work, from your own workflow? That is where others stop short.

Opening a portfolio to outside AI tools can sound like a security problem, so it is worth being specific. ArcPrime is SOC 2 Type 2, ISO 27001 certified, and customer data is never used to train models. Write access runs through the same controls as the rest of the system, so connecting your AI stack does not loosen who can do what.

This is not only for the largest teams, either. A lean team that just outgrew a spreadsheet gets the same open connection as a department running tens of thousands of assets. If your inventors live in Slack and your attorneys live in a chat model, a portfolio your AI tools can reach and act on is worth the same at either size.

Your patent data has spent years as something only one piece of software could use. To see what your own AI tools can do once they can reach it and act on it, book a conversation.