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Customer proof
The missing layer between your AI and patent data.
With Juristat Data Layer (MCP), your AI workflows can access the same structured prosecution history behind Analytics, without adding another standalone tool to the stack.
Reliable outputs
A hallucinated rejection history isn't a shortcut: it's a liability with your name on it. Juristat provides clean, entity-resolved data ensures you get a complete, accurate picture and nothing slips through the cracks.
Prosecution ready
Summaries and matter packages your team can send, not rewrite from scratch. All AI outputs with Juristat Data Layer are grounded in the full prosecution record, not just statistics, so you get defensible data that helps you win more.
Cost effective
Raw patent records are locked in scanned documents, and uploading them to an LLM burns up tokens fast. Juristat data has been structured, resulting in 85% cost reduction on work in your LLM compared with uploading raw documents.
Flexible connection
Juristat Data Layer supports Claude, ChatGPT, CoPilot, Solve, Perplexity, and internal tools through REST API. Juristat also offers pre-built AI workflows, so you can put your effort toward the prosecution work, not prompt engineering.
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Built to be trusted with your most sensitive work.
Juristat Data Layer (MCP) runs on a simple request-response model, like any search or query tool. Your inputs are used only to fulfill your request, then discarded. Nothing you ask is stored, retained, or shared.
Nothing is stored
Your prompts are never stored. Data is cleared after each response, so nothing is left behind.
Read-only by design
Data Layer only reads patent data to answer your question. It never writes to or changes your systems.
Never shared
Your data is never shared with third parties. It moves over a read-only connection, nothing more.
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Use cases for firms
Strengthen prosecution strategy, support business development and give clients evidence that substantiates your advice.
Use cases for corporate IP
Track prosecution performance, identify patterns and savings opportunities, and bring stronger evidence to outside-counsel decisions.