LegalOn halves Codex costs while maintaining development speed

LegalOn Technologies offers Professional AI globally, using AI to support legal work and other key business functions. By combining domain expertise with AI, it enables people to focus on complex judgments and decisions. Its goal is AI-driven management that improves the quality and speed of business decision-making.

This approach extends beyond its products to making the organization itself AI-native. The company integrated Codex into its development process and expanded adoption across the organization through day-to-day use.

As adoption took hold, a new challenge emerged: cost control. Unlimited use of high-performance models could drive up spending, while blanket restrictions risked undermining the productivity gains AI had enabled.

How could it reduce costs without slowing development? LegalOn Technologies addressed this challenge by selecting among GPT‑6 (Astra, Luna) and GPT‑6.1 Sol based on task complexity and development stage, and aligning budgets with each business’s stage of growth. The company halved costs while maintaining development speed.

Optimizing models to maintain development speed and reduce costs

The company initially gave developers unlimited access to its main model, GPT‑5.5 in Fast mode. They expanded its use to design, implementation, and everyday work, learning through experimentation how best to divide responsibilities between people and AI.

Continuing to use high-performance models without limits, however, would inevitably exceed the annual budget. The company's AI-powered Development CoE (AID CoE) began developing guidelines for model selection. AID CoE tested and monitored models, while managers shared its findings with their teams. This enabled each engineer to independently choose the most suitable model for each task.