Product design question

Harvey wants to launch a new AI product for legal teams, but customer needs are still ambiguous. How would you define an MVP that solves one concrete workflow end-to-end, respects enterprise data and security constraints, and creates value for both practitioners and economic buyers? Be specific about the target user, job to be done, scope cuts, and what you would defer.

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What this question tests

Tests MVP scoping for an ambiguous legal AI product, balancing enterprise data constraints against creating value for both users and buyers.

How to approach it

  1. Pick a specific target user, for example a mid level associate doing contract review, rather than legal teams broadly.
  2. Define one concrete job to be done, such as flagging non standard clauses against a firm's playbook, with a clear before and after.
  3. Scope cuts explicitly: defer multi document comparison and custom playbook authoring to a later release, ship against a single standard playbook first.
  4. Bake in enterprise constraints from day one, such as data never leaving the tenant and full audit logging, since these are launch blockers not add ons.
  5. Design the value story for both the associate, time saved, and the economic buyer, risk reduction and billable hour protection.
  6. Validate the MVP with a design partner before general availability to confirm the scope actually solves the job to be done.

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