Why Lawyers Are Building: Beyond Off-the-Shelf Legal Tech
Notas do episódio
**This is an archived episode being re-posted after an erroneous take-down**
Salvador Carranza, a former lawyer turned applied AI builder and adviser, joins to talk about a shift that could fundamentally change how legal technology gets made and deployed: lawyers are increasingly able to build solutions themselves.
We start with the traditional build-versus-buy decision. For years, buying software was usually the obvious choice. But AI-powered coding tools are lowering the technical barrier to turning an idea into a working prototype, giving lawyers and legal teams new options when off-the-shelf products don’t quite fit their workflows, data, or needs.
Salvador makes the case that building is also one of the best ways to actually learn AI. We discuss why lawyers should tinker, experiment, and iterate; how organizations can create safe environments for that experimentation; and why understanding how these systems work can make you a much more sophisticated buyer of legal technology.
From there, we get into the bigger implications: the difficulty of measuring AI ROI, data ownership and vendor lock-in, whether today’s legal AI platforms can maintain their position as frontier models improve, and why legal organizations increasingly need people who can turn ideas into proofs of concept.
We close by looking at what this means for the business of law. AI gives law firms new opportunities to productize legal services, rethink pricing, and capture more value from efficiency—and gives corporate legal departments the ability to build internal products that change what work they send outside in the first place.
At the center of it all is a simple idea: learn AI, use AI, and build with AI—not sequentially, but all at once.
Salvador is the founder of PossibLaw, where he writes and hosts a podcast focused on builders and the future of legal, and the founder of Lumen Atlas, where he works with legal teams on applied AI, training, workflow design, and technology decisions. You can follow him on LinkedIn.
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