Am Law 100 Firm Achieves 89% Recall and 99.5% Precision with DISCO Auto Review

The Am Law 100 firm faced the challenge of reviewing large volumes of documents in e-discovery matters efficiently and accurately. Manual review processes were time-consuming and prone to inconsistency, making it difficult to achieve both high recall and high precision at scale.

The firm implemented DISCO Auto Review, an AI-powered document review tool that uses machine learning to automatically classify and prioritize documents for relevance. The system was trained on attorney decisions to replicate review judgments across large document sets.

The firm achieved 89% recall and 99.5% precision using DISCO Auto Review, demonstrating that the AI solution could reliably identify relevant documents while minimizing false positives. These metrics indicate a high-quality, defensible review process suitable for litigation.

• High recall and near-perfect precision can be achieved simultaneously with properly trained AI review tools.
• AI-assisted review can produce defensible, court-acceptable results for Am Law 100 litigation matters.
• Machine learning models trained on attorney decisions can replicate expert judgment at scale.