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openai.comarticle

LegalOn halves Codex costs while maintaining development speed

LegalOn Technologies cut estimated daily Codex costs by about 65% against a GPT-5.5 Fast baseline without slowing development. It matched GPT-6 Luna to clearly specified implementation, GPT-6.1 Sol to standard design and analysis, and GPT-6 Astra to architecture. It also turned off Fast mode by default and set budget caps by department and person, asking mature businesses for about 20% savings. The page is a vendor-published case study.

TL;DR Case study of how LegalOn cut Codex spend about 65% through task-based model tiers, default-off Fast mode and staged budget caps.
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Organisations named here

  • OpenAI
  • LegalOn Technologies
  • Yuta Tokitake

Technologies named here

  • Codex
  • GPT-6 Luna
  • GPT-6.1 Sol
  • GPT-6 Astra
  • gpt-5.5

Concepts named here

  • AI budget governance
  • Fast mode
  • Feature-release ROI metric
  • Model routing by task complexity

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