Lease review took days of associate time. AI now synthesizes facts in minutes, freeing 40 hours per case for strategy.
A full-service mid-market law firm competing with global giants across banking, corporate law, litigation, and real estate.
Clients demanded greater efficiency and faster turnarounds, but the heavy volume of repetitive commodity work consumed attorney time needed for...
“As a mid-market firm, we need to add value for our clients at a cost structure that makes sense — while ensuring our attorneys are operating at their highest and best use. Harvey allows us to do both.”
Multi-practice law firm for corporate, financial, and private clients.
Harvey is a generative AI company that innovates the future of professional services with advanced AI solutions.
Moses Singer's Legal document review is part of this use case:
Related implementations across industries and use cases
Tracing issues across hundreds of contracts took days. AI now synthesizes the history from bulk files in hours.
Attorneys resisted standalone tools. Embedded in Word, AI now cuts contract review to 10 minutes and saves lawyers 7+ hours weekly.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
Tracing issues across hundreds of contracts took days. AI now synthesizes the history from bulk files in hours.
Manually scanning past deals bottlenecked negotiations. Now, partners use AI to query precedents and answer clients in minutes.
Manual research took days. Consultants now generate cited summaries in minutes, validating findings instantly during client meetings.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Manual entry bottlenecked service contracts. Now, AI extracts handwritten text and validates against SAP, routing deviations to humans.
Clause reviews took an hour. AI now finishes them in minutes, saving lawyers 6 hours a week for strategic work.
Lease review took days of associate time. AI now synthesizes facts in minutes, freeing 40 hours per case for strategy.
A full-service mid-market law firm competing with global giants across banking, corporate law, litigation, and real estate.
Clients demanded greater efficiency and faster turnarounds, but the heavy volume of repetitive commodity work consumed attorney time needed for...
“As a mid-market firm, we need to add value for our clients at a cost structure that makes sense — while ensuring our attorneys are operating at their highest and best use. Harvey allows us to do both.”
Multi-practice law firm for corporate, financial, and private clients.
Harvey is a generative AI company that innovates the future of professional services with advanced AI solutions.
Moses Singer's Legal document review is part of this use case:
Related implementations across industries and use cases
Tracing issues across hundreds of contracts took days. AI now synthesizes the history from bulk files in hours.
Attorneys resisted standalone tools. Embedded in Word, AI now cuts contract review to 10 minutes and saves lawyers 7+ hours weekly.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
Tracing issues across hundreds of contracts took days. AI now synthesizes the history from bulk files in hours.
Manually scanning past deals bottlenecked negotiations. Now, partners use AI to query precedents and answer clients in minutes.
Manual research took days. Consultants now generate cited summaries in minutes, validating findings instantly during client meetings.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Manual entry bottlenecked service contracts. Now, AI extracts handwritten text and validates against SAP, routing deviations to humans.
Clause reviews took an hour. AI now finishes them in minutes, saving lawyers 6 hours a week for strategic work.