DarrowEverett secures $4M+ additional value in family law matter by reviewing financial records in under an hour
DarrowEverett deployed Large Language Models & Generative AI for E-Discovery & Document Review in Law Firms. As reported by www.harvey.ai: More than $4 million additional client value secured.
Source-reported figures — cited source: www.harvey.ai
What DarrowEverett was trying to fix
In a high-stakes family law matter involving more than $30 million, opposing counsel claimed that a substantial portion of assets were non-marital. Traditionally, validating that claim would have required days of manual review of five years of financial records under tight timelines.
What DarrowEverett deployed
DarrowEverett uploaded five years of financial records into Harvey’s secure environment and asked which transactions demonstrated commingling of marital funds. Harvey produced a detailed report identifying marital assets, flagging each transaction and linking it directly to its source document.
Results
Within minutes, Harvey identified $2.2 million in marital assets with source-linked evidence. When DarrowEverett presented the findings, opposing counsel conceded, and the firm secured more than $4 million in additional value for its client. Work that once took days was completed in under an hour.
Key Takeaways
- Linking AI findings directly to source documents strengthened evidentiary credibility and opposing-counsel concessions
- Generative AI can compress multi-day financial record review into under an hour without abandoning attorney judgment
- Treating Harvey as a “second set of eyes” preserved precision while mining high-volume financial data
Evidence for DarrowEverett's E-Discovery & Document Review deployment
- Reported outcome metrics
- 3 cited below
- Cited source
- www.harvey.ai
- Last updated
- Source link checked
Explore Related
Details
- Industry
- Law Firms
- Use Case
- E-Discovery & Document Review
- AI Technology
- Large Language Models & Generative AI
- Company Size
- MidMarket
- Company
- DarrowEverett
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