Legora selects models by task: it uses open-weight models where they perform well, post-trains some models, and uses frontier models for other tasks.

“How do we just optimize across all of that? So- Some open weights models are great for certain tasks, and then we'll use them there. Um, some we'll post train and, and some we'll just use the frontier models.”