Four Legal AI Workflows to Help Mid-Sized Firms Take on More
Start with one workflow tied to real legal work, prove value quickly, and build from there.
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Mid-sized law firms face growing pressure to deliver sophisticated work quickly while managing finite team capacity. Legal AI can help experienced attorneys apply their judgment across more work, use firm knowledge more consistently, and spend less time on the groundwork surrounding each matter.
A practical path begins with one recurring workflow tied to live work and a clear way to measure what changes.
This guide maps four places to start: large-document review, drafting and first drafts, diligence and structured extraction, and building a matter from intake through the first major deliverable. It also shares examples from firms including Gray Reed, Shipman & Goodwin, Munck Wilson Mandala, and Yetter Coleman. Inside you’ll learn:
- How to choose a starting workflow based on the work already putting pressure on your team
- How legal AI can support document review, drafting, diligence, and matter development
- What to measure when assessing the impact of a workflow
- How firms are using Harvey to expand capacity and improve matter economics
- How a successful workflow can become repeatable across matters and practice groups