NetDocuments LCEB: Structured Legal Context Cuts AI Answer Cost by 48%

NetDocuments published the Legal Context Engineering Benchmark (LCEB) on August 18 — the first formal benchmark measuring how structured legal context affects both the quality and cost of AI answers. Using the same AI agent, model, and 300 questions across ten real legal matters (874 documents, approximately 60 million characters), the benchmark ran each matter with and without structured context from the Legal Context Graph. Results: structured context delivered the same answer quality at 48% lower cost; for a 2,000-person firm processing four million AI questions per year, that translates to approximately $1 million in annual savings. The benchmark also found that reinvesting the efficiency gain into deeper reasoning improved answer quality by 7% while still costing 18% less overall. For KM professionals, the LCEB provides the first externally validated ROI case for context engineering as a distinct, measurable investment — and a methodology firms can replicate against their own knowledge environments.