Business · case page undated; read on October 15
LegalOn estimates a 65% Codex cost cut; no period is given
OpenAI customer story: LegalOn, a legal-software company, routes tasks for the coding agent Codex across three GPT-6 models and adds mode restrictions and budget caps, estimating daily costs about 65% lower than before. The three models are GPT-6 Luna, GPT-6.1 Sol and GPT-6 Astra. The mode restriction limits fast mode by default, and the baseline is earlier unrestricted use of GPT-5.5 Fast. The page says: "Together, model selection, feature restrictions, and budgets tailored to each business reduced estimated daily costs by approximately 65%." (OpenAI, case page) The lightest, Luna, handles well-specified implementation and sub-agents, Sol handles design and analysis, and the strongest, Astra, handles architecture. The 65% is the three measures combined, not model choice alone. It is the customer's own estimate, published by the vendor, and the measurement period isn't stated. The page's headline says costs were halved; the figure in the text is about 65%. Routing tasks by model tier is one of three cost measures, and the page doesn't break out what each saved, so the share from tiering can't be told. How we checked →

Source and checks
This item ran in the brief of Oct 16, 2026, alongside 19 other items. How we checked it, the quote checks and what was still missing that day are on that issue's How we checked page.
Cite this item
SecondSource (2026). "LegalOn estimates a 65% Codex cost cut; no period is given." https://secondsource.io/en/product/2026-10-16-1/. Accessed access date.