Firms Adopt Harvey for Pitch Prep

The important shift is that legal AI is escaping the legal department and becoming a revenue tool for the firm. A product bought to draft, summarize, and review documents can also help a team scope a client problem before the first meeting, pull together relevant precedents, sketch likely workstreams, and walk into a pitch with a sharper point of view. That makes AI useful not just for doing billed work faster, but for winning the work in the first place.

• This works especially well in transactional practices, where pitches often start with a concrete document set, deal structure, or diligence question. The same tools that help an associate get from blank page to first draft can help a partner turn a vague opportunity into a prepared proposal.
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• The underlying workflow is simple. Lawyers feed in prior deal documents, client materials, and issue lists, then ask the system to summarize risks, compare market terms, draft a first cut, or outline next steps. That is why products built for legal work can suddenly become useful in business development, they compress the prep work before a pitch.
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• This also helps explain why broad platforms like Harvey and Legora are gaining attention, while specialists like Spellbook stay narrower. General platforms can support research, drafting, review, and early pitch prep in one place, while contract focused tools win where the problem is specifically drafting and redlining inside Word.
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The next step is firms using these systems to blur the line between selling and serving. The firms that win will be the ones that turn AI into a standard pre pitch workflow, then connect that early prep directly into live matter execution once the client says yes.