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4 quotes from 1 episode on Latent Space, each with a timestamped link to the source.
Jacob Lauritzen stated that selling enterprise AI requires strict compliance with client infrastructure rules. Vendors host their entire stack on Azure because law firms already accept Microsoft as an approved secure vendor.
Fine-tuning open weights models works for specific tasks where they beat frontier models on cost and latency.
“We haven't fine-tuned any models up until now. I think now in the past few months open weights models have become extremely capable and so we will do it for certain tasks where we think there's a huge delta between what a frontier model can do at the cost and latency versus what we think a post-trained model can do.”
From Why Legora Put Its Whole Stack on Azure to Sell to Law Firms
Model routing evaluates speed, cost, governance, and regional availability along a Pareto frontier.
“…bringing our clients along on the Pareto frontier and the map of all the models and what they're good at and their latency and their cost and their governance and their regional availability.”
From Why Legora Put Its Whole Stack on Azure to Sell to Law Firms
Legal engineers configure the product as power users without touching any code. Forward-deployed engineers write production code to build custom integrations.
“Legal engineers configure the product as a power user would. They don't write code. And a forward deployed engineer writes code into production basically. I guess that's the separation.”
Law firms reject AWS outright because their IT teams already maintain security approvals for Microsoft 365. Jacob Lauritzen said hosting everything on Azure matches the approved vendor list.
“Microsoft is an approved vendor in their mind and so we had to host everything on Azure…”
From Why Legora Put Its Whole Stack on Azure to Sell to Law Firms
How we attribute quotes. Every quote was matched against the episode transcript, so the words and the timestamp are real (we trim filler words like "um", nothing else). The name comes from our written summary of the episode, and we use it only when a separate check of the captions finds that person on the episode. YouTube gives us no voice-by-voice transcript, so open the timestamp to hear who is talking. See a wrong name? Tell us and we fix or remove it.
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