legal_document_review · services · workflow
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.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Legal document extraction request
The need to extract information from legal documents initiates the workflow.
Tools used
LexionNatural Language Processing (NLP)
Outcome
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.
What failed first
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.
Results
Time savedsaving legal professionals time
Grounding & classification
Source type: vendor customer story
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data extractiondocument aicontractfailure mode describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedlegalcycle time reductionemployee productivityvendor customer storycontract managementlegal document reviewlegal opsdocument to record