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, and it extends this approach 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. The company addressed this by selecting among GPT-6 (Astra, Luna) and GPT-6.1 Sol based on task complexity and development stage, and by aligning budgets with each business's stage of growth. It halved costs while maintaining development speed.

Initially, developers had unlimited access to the main model, GPT-5.5 in Fast mode. The company's AI-powered Development Co E (AID Co E) then began developing model selection guidelines, testing and monitoring models while managers shared its findings with their teams. This enabled each engineer to choose the most suitable model for each task. The shift moved the company from using the highest-capability model for every task to choosing the right model for the job, starting with a lightweight model and moving up as complexity increased.

System controls were also introduced through administrator settings, with monthly usage limits for departments and individuals. Fast mode became restricted by default, allowing individual requests only when needed, and teams used approaches such as running tasks in parallel to maintain performance. Budget caps were set at the department, group and individual levels, with the established business asked to improve cost efficiency by up to approximately 20%, while new businesses in the launch phase received generous budgets.

LegalOn Technologies在全球提供Professional AI，利用人工智能支持法律工作和其他关键业务职能。通过将领域专业知识与人工智能相结合，该公司让人们能够专注于复杂的判断和决策。其目标是实现人工智能驱动的管理，以提升业务决策的质量和速度，并将这一方法延伸至使组织本身成为AI原生型组织。

该公司将Codex整合进其开发流程，并通过日常使用在整个组织内扩大应用。随着应用逐步深入，一个新挑战出现了：成本控制。无限制地使用高性能模型可能会推高支出，而一刀切的限制则可能削弱人工智能带来的生产力提升。该公司的应对方式是：根据任务复杂度和开发阶段，在GPT-6（Astra、Luna）和GPT-6.1 Sol之间进行选择，并根据各业务的发展阶段调整预算。它在保持开发速度的同时，成本减半。

最初，开发人员可以无限制地使用主力模型GPT-5.5的快速模式。随后，该公司由人工智能驱动的开发部门Development Co E（AID Co E）开始制定模型选择指南，对模型进行测试和监控，管理者则与团队分享其研究结果。这使每位工程师都能为每项任务自主选择最合适的模型。此举使公司从为所有任务使用能力最强的模型，转变为为工作选择合适的模型，从轻量级模型入手，并随任务复杂度提高逐步升级。

公司还通过管理员设置引入了系统控制，为各部门和个人设定月度用量上限。快速模式默认受到限制，仅在需要时允许单独请求，团队则采用并行运行任务等方式来保持性能。预算上限设置在部门、小组和个人三个层级：成熟业务被要求将成本效率提升约20%，而处于启动阶段的新业务则获得了充足的预算。