Case Study: Am Law 200 firm cuts insurance-litigation review from six weeks to under two with EverlawAI
Key results
The challenge
An Am Law 200 firm faced a complex insurance coverage dispute requiring review of approximately 600,000 documents under aggressive timelines and budget constraints. The team needed to surface buried technical documents quickly while keeping the process defensible.
The solution
The firm deployed Everlaw's Coding Suggestions with a multi-stage validation approach: iterative prompt refinement on test sets, validation sampling, and expert prompting for insurance and technical language.
The results, in context
The firm processed nearly 600,000 documents, culling to about 43,000 non-privileged documents for AI review, and reached 93% precision on a validated 456-document sample. The review timeline dropped from six weeks to under two weeks (about 66% faster) at roughly one-fifth the cost of traditional contract review.