Every lawsuit carries a second invoice — the cost of finding the evidence. American companies spend over $42 billion a year on electronic discovery, yet no one can say what any of it should cost. The benchmark the industry needs has never had a name. Until now.
When a company is sued, the evidence lives in inboxes, chat logs, and shared drives — terabytes of it. Collecting, processing, hosting, and reviewing that data is eDiscovery, and it consumes roughly a fifth of all American litigation spend. Yet per-gigabyte processing fees run from $29 to $135 with no published benchmark, and general counsels approve invoices they cannot decode.
EDiscoveryCosts.com names the missing dataset. It is the natural home for the industry's first eDiscovery cost index — processing rates by matter size, review costs per document, hosting benchmarks by vendor, and the true-cost multipliers every legal operations team wants and no one publishes.

Exact-match authority. “eDiscovery costs” is the phrase general counsels, legal ops directors, and litigation support managers already type into search. This domain owns the query at the root.
Built for the index business. Cost benchmarking is a proven model — legal rate surveys, ALSP pricing studies, litigation finance data. The eDiscovery equivalent has a natural home here.
Vendor-ready asset. eDiscovery platforms compete on value as AI collapses review costs. Owning the category's cost benchmark is a strategic moat no competitor can replicate.

Relativity, Everlaw, Logikcull, and DISCO compete on cost transparency as AI rewrites review economics. The industry's cost benchmark becomes their reference brand.
Advisors who benchmark outside-counsel and vendor spend for Fortune 500 legal departments need an independent, authoritative data source. This is where the profession looks first.
Funders underwriting case economics price eDiscovery into every investment. Owning the cost index sharpens underwriting and signals market leadership.
Research-grade briefings on what eDiscovery actually costs — per-gigabyte rates, review economics, AI's repricing, and who profits from the opacity.
Document review alone costs $42.1 billion a year in the US. Yet per-GB processing runs $29 to $135 with invoices nobody can benchmark.
Read the analysisGenerative AI can cut review costs 75% or more — yet vendors still bill legacy per-GB rates. Inside the pricing-model fight remaking the industry.
Read the analysisPer-GB pricing, review markups, vendor secrecy: how each link in the chain profits from the fog — and what daylight would cost them.
Read the analysis
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