The core challenge in legal tech is reconciling the legal profession's mandate for perfection and mistake prevention with product development's need for rapid iteration and feedback, even if an initial release is flawed. The two cultures are fundamentally at odds.
The primary challenge for modern product leaders is no longer accessing data, which is now ubiquitous. The critical skill has shifted to formulating the right strategic questions to ensure data serves decisions, rather than simply creating noise.
When LLMs emerged, LegalOn chose to redo its entire tech stack. This difficult decision was driven by a core principle: prioritize long-term customer benefit and satisfaction, even if it incurs significant short-term opportunity costs and pain for the company.
For a distributed company like LegalOn with teams in Japan and the US, a strong North Star vision is essential. It provides a shared framework that allows individual teams to make autonomous quarterly decisions and strategic bets that ladder up to the same long-term goals.
Lawyers are slow to adopt new technologies not just due to personality, but because their professional training and ethical duty prioritize preventing client harm. Doing things the "same way" is a risk mitigation strategy, making any innovation inherently dangerous to them.
In-house lawyers don't need a perfect, infallible AI; they need a partner to manage an unsustainable volume of work like thousands of contracts. AI succeeds by augmenting human lawyers, allowing them to identify and focus on the most critical risks more efficiently.