Reed Smith saves $2.3 million and 11,300 hours by cutting AI-driven document review
Reed Smith deployed Large Language Models & Generative AI for E-Discovery & Document Review in Law Firms. As reported by www.casestudies.com: $2.3 million cost savings.
Source-reported figures — cited source: www.casestudies.com
What Reed Smith was trying to fix
Reed Smith, a global law firm, needed to manage large volumes of documents across litigation, investigations, and data subject access requests (DSARs). Clients demanded cost discipline and speed without compromising defensibility of the review process.
What Reed Smith deployed
The firm adopted Relativity aiR for Review, an AI-powered document review product, and integrated it into firmwide workflows spanning litigation, investigations, and DSAR matters.
Results
In a single large litigation matter, the solution saved an estimated 11,300 hours and over $2.3 million by excluding 500,000 documents from manual review. It also accelerated witness preparation and provided early insight in investigations, giving Reed Smith a consistent, repeatable model for handling high-volume matters more predictably and expanding capacity for DSARs and other complex engagements.
Key Takeaways
- AI-powered review can exclude hundreds of thousands of documents from manual review, translating directly into large time and cost savings on major litigation matters.
- A repeatable, firmwide AI review workflow lets a law firm scale into more high-volume engagements (e.g., DSARs) without proportional headcount growth.
Evidence for Reed Smith's E-Discovery & Document Review deployment
- Reported outcome metrics
- 3 cited below
- Cited source
- www.casestudies.com
- Last updated
- Source link checked
Explore Related
Vendor
Details
- Industry
- Law Firms
- Use Case
- E-Discovery & Document Review
- AI Technology
- Large Language Models & Generative AI
- Company Size
- Enterprise
- Company
- Reed Smith
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