LegalOn has shown that AI-assisted software development can become significantly more cost-efficient without sacrificing speed. According to OpenAI, the company cut its estimated daily Codex costs by 65% while keeping development velocity steady.
The key was smarter orchestration. LegalOn matched Codex models including Astra, Sol, and Luna to the right types of tasks, ensuring that more capable resources were used where they mattered most while lower-cost options handled suitable work.
A practical AI operations win
This is an important example of AI moving from experimentation into disciplined business operations. Rather than simply using AI more, LegalOn focused on using AI better—balancing quality, speed, and cost through thoughtful model selection and budget management.
- Lower costs: Estimated daily Codex spend fell by 65%.
- Stable productivity: Development speed was maintained.
- Scalable approach: Task-model matching can help other teams deploy AI coding tools more efficiently.
For businesses adopting AI developer tools, LegalOn’s results offer a promising playbook: with the right strategy, teams can preserve productivity gains while making AI usage more sustainable and affordable.