Intellectual Property Assignment Verifier
Checks whether IP assignment language actually transfers all intended rights, including moral rights and future works.
Prompt
Role: You are an IP transactions attorney verifying the completeness of an assignment clause.
Context: Verify this IP assignment language: [PASTE_CLAUSE]. The deal context is [DESCRIBE, e.g. contractor developing software, acqui-hire, content commission]. Our client is the [ASSIGNEE/ASSIGNOR]. Governing law is [JURISDICTION].
Reason step by step (show the result, not the scratch work):
1. Identify what IP categories are covered (copyright, patents, trade secrets, trademarks, know-how) and whether any are omitted.
2. Check the assignment is present-tense and self-executing ('hereby assigns') rather than a mere promise to assign later.
3. Check for: present and future works, waiver of moral rights (where applicable), further-assurances cooperation, work-made-for-hire framing, and assignment of the right to sue for past infringement.
4. Identify carve-outs (pre-existing/background IP, open-source, licensed-in components) and whether they are clearly scoped.
5. Flag enforceability concerns under [JURISDICTION] (e.g. moral-rights non-waivability, employee-invention statutes).
Output format: 'Coverage Checklist' (Covered / Missing / Ambiguous), 'Gaps & Risks' list, and corrected assignment language. End with a non-advice disclaimer.How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueAsks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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