AI & Technical question

Suppose Harvey is building an Outlook or Word integration that drafts grounded work product from matter documents and email history. How would you partner with engineering to make architecture tradeoffs among retrieval depth vs latency, precomputed vs on-demand indexing, model quality vs cost, and strict permissioning vs implementation speed? What would you ship first, and why?

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What this question tests

Tests technical product judgment on architecture tradeoffs for a grounded drafting feature, and the ability to sequence what ships first.

How to approach it

  1. Clarify the target workflow first: drafting a memo from a specific matter's documents and recent email thread, not open ended search.
  2. Choose precomputed indexing for the matter's core documents, since latency matters more than freshness for a drafting assistant used mid work.
  3. Use on demand retrieval only for recent email, since it changes daily and a stale precomputed index would hurt trust.
  4. Prioritize strict permissioning from day one, since a wrong document surfaced across a matter wall is a worse outcome than a slow or weaker draft.
  5. Ship the Word integration first if attorneys spend more drafting time there, deferring Outlook until the retrieval and permissioning core is proven.
  6. Pick a mid tier model with strong grounding over the largest model, if cost and latency at drafting scale become the bottleneck.

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