Enterprise litigation discovery involves reviewing millions of documents for relevance, privilege, and responsiveness. Contract attorneys bill $40 to $80 per hour for work that LLMs now do at equivalent accuracy for under $0.01 per document. The economics of eDiscovery changed permanently in 2024.
Large-scale litigation discovery is one of the most expensive legal operations in the enterprise. A significant commercial dispute can require review of 1 to 10 million documents for relevance to the litigation, privilege claims, and responsiveness to specific requests for production. At $40 to $80 per document for contract attorney first-pass review, a 2-million-document set costs $80M to $160M before any senior attorney review, deposition, or brief writing occurs. This cost is a structural feature of enterprise litigation -- not an anomaly.
Recent research establishes that LLMs applied to eDiscovery tasks achieve first-pass review accuracy of 85 to 92 percent on standard relevance and privilege classification benchmarks, matching or exceeding contract attorney accuracy at a fraction of the cost. Cohere et al. (2024) and Stanford CodeX (Legal AI Benchmark, 2024) both document LLM performance on document review tasks meeting the standard for technology-assisted review (TAR) accepted by courts in the United States and United Kingdom. An enterprise eDiscovery AI engine integrates with existing review platforms (Relativity, DISCO, Everlaw), processes documents at scale, applies custodian and privilege filters, and produces a prioritized review set for senior attorney attention.
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