Moses Singer

As a mid-market firm, Moses Singer faced rising client expectations for faster turnaround while competing with Big Law’s scale under a cost structure that had to work for both clients and the business. Pricing pressure and repetitive commodity work threatened to pull attorneys away from high-value judgment. Leadership needed technology that would push down commodity work without compromising quality or trust.

Moses Singer adopted Harvey to give lawyers leverage on repetitive tasks while retaining full responsibility for every decision and outcome. In real estate, Harvey analyzes leases and amendments so associates can move past manual review and surface inconsistencies that need deeper lawyer attention. Firmwide, about 75% of lawyers and staff use Harvey to accelerate early-stage work.

Real estate lease and amendment analysis that previously took days now completes in minutes. The firm reports saving roughly 40 hours of associate time while still flagging inconsistencies for lawyer review. Teams expand what they can achieve in a given week while maintaining quality and confidentiality.

• • Mid-market firms can use generative AI to compete on speed and cost without growing headcount for commodity work
• • Lease analysis is a high-ROI starting point when AI surfaces inconsistencies for human review rather than replacing judgment
• • Broad attorney and staff adoption (here, ~75%) is needed for firmwide efficiency gains to stick