NetDocuments Publishes Industry’s First Benchmark Report Showing How Legal Context Makes AI More Efficient and Accurate

Legal Context Graph reduces the cost of a correct AI answer by 48%, giving firms room to lower AI costs or invest in better answers.

LEHI, Utah, August 18, 2026--NetDocuments®, the #1 trusted intelligent document management system for legal professionals, today published the Legal Context Engineering Benchmark (LCEB) report, a new benchmark that measures how structured legal context affects both the quality and cost of AI answers.

The benchmark asks a simple question: what changes when the model, agent, questions and documents stay the same, but the AI has structured context to help it understand and navigate those documents?

The results: the Legal Context Graph cut the cost of a correct AI answer by 48% while maintaining essentially the same answer quality. For a 2,000-person firm asking four million AI questions a year, the report estimates that could translate to nearly $1 million in annual savings.

"As AI shifts to consumption pricing, the industry is swinging between two extremes: spending without limits and cutting without strategy," said Josh Baxter, Chief Executive Officer at NetDocuments. "We've believed from the beginning that context is the lever that changes that equation. This benchmark is the first proof. Get the context right, and firms spend less to get better answers. That's not a feature. That's a new foundation for how legal AI should work."

The LCEB compares the same AI agent answering 300 questions across ten real legal matters, with and without structured legal context. The report also publishes the methodology, giving legal organizations a framework they can use to measure the quality and cost of their own AI answers over time.

"Over the past six months, the conversation in legal has shifted from AI capabilities, which are ubiquitous, to context, which is essential for quality AI outcomes," stated Scott Kelly, Vice President of Product at NetDocuments. "This benchmark gives firms the confidence to ensure AI investment creates lasting value for their lawyers, their business and their clients. We're moving the conversation from assumption to evidence by demonstrating how structured legal context can help firms get significantly more out of their connected AI tools at lower cost."

Making an impact

NetDocuments has used the benchmark to evaluate the impact of its groundbreaking Legal Context Graph. Announced in May, the graph turns a firm's documents into structured legal context that AI can use from the start.

Giving AI access to documents is not the same as giving it context. AI may be able to search a firm's documents without understanding which matters are related, which precedent the firm relies on, which version of a document matters, or how information scattered across a matter connects. Without that understanding, the agent has to spend time and compute figuring out relationships the firm already knows. The Legal Context Graph gives AI persistent, permission-aware context so it can start with that understanding instead of rebuilding it with every question.