Verifying claims took days. AI analyzed 5 years of records in minutes, identifying $2.2M in assets to secure a $4M+ win.
A full-service law firm specializing in high-stakes litigation where lawyers routinely review terabytes of discovery data and tens of thousands of documents under tight timelines.
The sheer volume of information obscured critical facts, such as in a $30 million family law case where verifying asset claims traditionally required...
“Harvey doesn’t replace our thinking — it sharpens it. In high-stakes cases, clarity wins. Harvey gives us that clarity faster than anything else we’ve used.”
Full-service business law firm for corporate transactions and commercial real estate.
Harvey is a generative AI company that innovates the future of professional services with advanced AI solutions.
DarrowEverett's Legal document analysis is part of this use case:
Related implementations across industries and use cases
Lease review took days of associate time. AI now synthesizes facts in minutes, freeing 40 hours per case for strategy.
Tracing issues across hundreds of contracts took days. AI now synthesizes the history from bulk files in hours.
Attorneys paused consults for hours of manual document review. Now, AI drafts verified legal opinions in real time during client meetings.
Lease review took days of associate time. AI now synthesizes facts in minutes, freeing 40 hours per case for strategy.
Tracing issues across hundreds of contracts took days. AI now synthesizes the history from bulk files in hours.
Teams manually transcribed complex 300-page tax forms. Now, a specialist annotates one page and AI trains custom extraction models.
Isolated pilots couldn't overcome lawyer autonomy. A mandatory global rollout systematically redesigned core legal workflows with AI.
Manual PII review across complex spreadsheets risked regulatory delays. Deloitte used AI extraction to boost review efficiency 50-60%.
Manual entry bottlenecked service contracts. Now, AI extracts handwritten text and validates against SAP, routing deviations to humans.
Verifying claims took days. AI analyzed 5 years of records in minutes, identifying $2.2M in assets to secure a $4M+ win.
A full-service law firm specializing in high-stakes litigation where lawyers routinely review terabytes of discovery data and tens of thousands of documents under tight timelines.
The sheer volume of information obscured critical facts, such as in a $30 million family law case where verifying asset claims traditionally required...
“Harvey doesn’t replace our thinking — it sharpens it. In high-stakes cases, clarity wins. Harvey gives us that clarity faster than anything else we’ve used.”
Full-service business law firm for corporate transactions and commercial real estate.
Harvey is a generative AI company that innovates the future of professional services with advanced AI solutions.
DarrowEverett's Legal document analysis is part of this use case:
Related implementations across industries and use cases
Lease review took days of associate time. AI now synthesizes facts in minutes, freeing 40 hours per case for strategy.
Tracing issues across hundreds of contracts took days. AI now synthesizes the history from bulk files in hours.
Attorneys paused consults for hours of manual document review. Now, AI drafts verified legal opinions in real time during client meetings.
Lease review took days of associate time. AI now synthesizes facts in minutes, freeing 40 hours per case for strategy.
Tracing issues across hundreds of contracts took days. AI now synthesizes the history from bulk files in hours.
Teams manually transcribed complex 300-page tax forms. Now, a specialist annotates one page and AI trains custom extraction models.
Isolated pilots couldn't overcome lawyer autonomy. A mandatory global rollout systematically redesigned core legal workflows with AI.
Manual PII review across complex spreadsheets risked regulatory delays. Deloitte used AI extraction to boost review efficiency 50-60%.
Manual entry bottlenecked service contracts. Now, AI extracts handwritten text and validates against SAP, routing deviations to humans.