LinkedIn·Friday, 21 August 2026·5d ago
Most AI tools give you an answer, fewer tell you where it came from. In legal work, that gap is where things go wrong. A clause that's…
Legile
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Most AI tools give you an answer, fewer tell you where it came from.
In legal work, that gap is where things go wrong. A clause that's subtly wrong reads just as well as a correct one but by the time you notice, the damage is done.
Christophe V. breaks down how we ran into this early when building OneView, and what we did about it. Language models don't look things up, they predict what text should come next. When the model doesn't have the right information, it keeps generating something that sounds reasonable.
The answer was RAG. OneView pulls the relevant documents from your contract history first and builds the answer from those specific sources. Every answer comes with a reference and you see where it came from, check the original, and decide whether you agree.
A confident answer you can't verify is worth less than a careful one you can trace back to the source.
🔗 Want to see it in practice? Book a demo at legile.ai/book-a-demo
#AIinLegal #LegalTech #RAG #ContractAI #LegalOps
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