AmLaw 100 firm cuts hot document summary preparation time 60% with Aurora AI
An AmLaw 100 law firm deployed Large Language Models & Generative AI for E-Discovery & Document Review in Law Firms. As reported by www.consilio.com: 60% summary preparation time reduction.
Source-reported figures — cited source: www.consilio.com
What the AmLaw 100 law firm was trying to fix
A large AmLaw 100 law firm needed to scale its hot document reporting for high-stakes matters. Manual summary preparation was time-consuming and placed significant pressure on reviewers, making it difficult to deliver timely, consistent insights to stakeholders.
What the AmLaw 100 law firm deployed
The firm deployed Consilio's Aurora AI Investigate and Aurora AI Summarize for Relativity Server in a secure, privately hosted environment. By combining investigative AI with automated summarization, the team was able to process hot documents at scale without compromising data security.
Results
Summary preparation time was cut by 60%, saving 50 to 60 hours across the matter. Reviewers experienced reduced workload pressure while stakeholders received faster and more consistent document insights.
Key Takeaways
- Combining investigative AI with automated summarization creates compounding efficiency gains in document review workflows.
- A privately hosted deployment model allows large law firms to adopt GenAI without sacrificing data security requirements.
- Automating hot document summaries reduces both time and variability, improving consistency of stakeholder reporting.
Evidence for the AmLaw 100 law firm's E-Discovery & Document Review deployment
- Reported outcome metrics
- 2 cited below
- Cited source
- www.consilio.com
- Last updated
- Source link checked
Limitation: The cited source does not identify the company.
Explore Related
Details
- Industry
- Law Firms
- Use Case
- E-Discovery & Document Review
- AI Technology
- Large Language Models & Generative AI
- Company Size
- Enterprise
- Company
- AmLaw 100 law firm
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