Wilson Sonsini uses Lexion's NLP to eliminate manual contract information extraction and accelerate deal-making
Wilson Sonsini's legal professionals bore a gigantic burden of manually extracting information from legal documents—a fundamental industry-wide problem where highly trained attorneys end up doing manual, repeatable work.
Wilson Sonsini tested numerous legal tech platforms and found that larger vendors required expensive planning proposals just to begin information extraction, without delivering actual results.
source quote
source quote
source quote
source quote
Lexion improved process compliance for information requests, saved legal professionals time, and enabled faster deal-making by getting information to stakeholders more quickly, while continuing to add functionality without sacrificing usability.
Compare to your context
Tell us your scale, team, and constraints. We'll show what changes at your size, what fails at your scale, and whether this case is a fit, needs adaptation, or won't scale to you. Free demo, no signup.
Frequently asked questions
What did this team achieve with this AI workflow?
Lexion improved process compliance for information requests, saved legal professionals time, and enabled faster deal-making by getting information to stakeholders more quickly, while continuing to add functionality wi…
What tools did this team use?
Lexion, Natural Language Processing (NLP).
What results were reported?
Process compliance for information requests: gone way up; Deal-making speed: making deals close more quickly; Legal professional time savings: saving legal professionals time (source-reported, not independently verified).
What failed first in this deployment?
Wilson Sonsini tested numerous legal tech platforms and found that larger vendors required expensive planning proposals just to begin information extraction, without delivering actual results.
How is this legal document review AI workflow structured?
Legal document extraction request → NLP-based information extraction → Information delivered to stakeholders → Continuous model building.
Related legal document review cases
Now compare it to your context
This case is one data point. Whether its pattern fits you depends on your volumes, your stack, and your exception load — that comparison is the step no case study can do for you.