Cutting eDiscovery Costs by 60% with AI-Powered Batch Processing

eDiscovery costs continue to be one of the largest expenses in modern litigation. Traditional document review requires armies of contract attorneys spending months reviewing millions of documents at costs that can reach millions of dollars.

The Cost Problem

For a case with 500,000 documents, review costs alone can exceed $500,000. LawCipher's batch processing and predictive coding features tackle these costs head-on.

Batch AI Processing

Batch summaries at 5 pages per document, batch topic analysis at 5 pages per document, batch coding at 3 pages per document, and batch custom extractions at 7 pages per document — all processing asynchronously so you can continue working.

Predictive Coding

Train a model on just 100-500 seed documents and let AI score the remaining corpus. At 200 pages per training cycle, most teams reach 90%+ recall after 3-5 cycles with transparent confidence scores for defensibility.

Real Results

DLA Piper reported a 60% reduction in eDiscovery costs across 15 active cases after implementing LawCipher. The firm processes over 200 depositions monthly and found batch AI features reduced document review time by 80%.