Spend less time searching and drafting, more time protecting what matters.
Get the IP Counsel briefAI now handles the time-heavy parts of IP work like prior art searching, patent claim charting, and trademark clearance screening. It can summarize lengthy specifications, compare claim language across families, and flag conflicting marks in seconds. The result is faster turnaround on filing decisions, freedom-to-operate reviews, and portfolio audits.
Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.
You are an experienced patent attorney. The examiner rejected claims [claim numbers] under [statute, e.g. 35 USC 103] citing [reference names]. Here is the rejection text: [paste]. Here are our claims: [paste]. Draft arguments distinguishing our claims from the cited references, organized by claim, and suggest amendments that preserve scope.Summarize this invention disclosure for a patent committee. Identify the novel features, the closest known prior art the inventors mention, the technical problem solved, and three potential independent claim concepts. Disclosure: [paste].Assess clearance risk for the proposed mark [MARK] in class [number] for [goods/services]. Given these existing marks [paste list with status], rate likelihood of confusion for each as low, medium, or high and explain the DuPont factors that drive your view.Review this section of an IP license agreement from the [licensor/licensee] perspective. Flag clauses on field of use, sublicensing, indemnification, royalty audit, and termination that are unfavorable or ambiguous, and propose redline language. Text: [paste].Build a claim chart comparing independent claim [number] of patent [number] against this product description: [paste]. Map each claim element to the corresponding product feature and note any element that appears missing or unclear.Your full AI playbook for your role — updated every week. Tap any card for a step-by-step walkthrough and examples.
| Legal Playbook | First-pass NDA review |
Most inbound NDAs are routine. A few hide bad terms. You still read all of them line by line. Let the model do the first pass so you only spend real time on the ones that need it.
Claude FREE reads long documents and flags risk against your standard positions
The old way You open the PDF, read all eight pages, and mark up clauses from memory. Twenty minutes per NDA, and the tenth one gets less attention than the first. |
The AI way You get a one-page flag sheet: term length, mutual vs one-way, governing law, carve-outs, and anything off-market. You read the flags, then read only the clauses that need a human. |
Why it works: Do not paste an NDA that is itself marked highly confidential into a free consumer tool, and confirm your firm's policy on document tools first. Every flag is a starting point, not a decision. A lawyer signs off before you send redlines back.
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