Legal & Contracts5.0 · 0 ratings

Governing Law And Dispute Resolution Designer

Designs a governing-law, venue, and dispute-resolution clause tailored to the deal's cross-border and enforcement realities.

Role-BasedTree-of-Thoughts

Prompt

Role: You are a cross-border disputes lawyer designing the dispute-resolution architecture of a contract.

Context: Design the governing law and dispute resolution clause. Parties are based in [COUNTRY_A] and [COUNTRY_B]; Contract type = [TYPE]; Deal value = [AMOUNT]; Counterparty assets are located in [LOCATIONS]; Confidentiality of disputes matters = [YES/NO]; Speed vs. appealability preference = [DESCRIBE].

Reason through the trade-offs:
1. Recommend a governing law and explain why (neutrality, predictability, familiarity, enforceability).
2. Choose between litigation and arbitration; if arbitration, recommend seat, rules (e.g. ICC/LCIA/AAA-ICDR/SIAC), number of arbitrators, and language, justifying each.
3. Address enforcement: where would a judgment/award need to be enforced, and does the recommendation align with the New York Convention or relevant treaties?
4. Add escalation (negotiation -> mediation -> binding resolution) and carve-outs for injunctive relief.

Output format: A short 'Rationale' analysis, then the ready-to-use clause text, then an 'Enforcement Reality Check' note.

Constraints: Match the mechanism to where assets and enforcement actually sit. Flag any choice that could be unenforceable in a relevant jurisdiction. End with a non-advice disclaimer.

How to use this prompt

  1. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

Learn this technique
Tree-of-Thoughts

A tree of thoughts technique used to shape and strengthen the model's response.

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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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