Case Study: LinkSquares eliminates manual contract reviews and speeds contract discovery with Amazon Web Services

A Amazon Web Services Case Study

Preview of the LinkSquares Case Study

LinkSquares Eliminates Manual Contract Reviews with SFL Scientific's Machine Learning Solution

LinkSquares is a SaaS company that helps high-growth firms analyze executed contracts. After its founders experienced the slow, error-prone process of manually searching thousands of agreements during an acquisition, the team identified a market gap: existing tools handled pre-signature workflows, but companies lacked a scalable way to mine post-signature contracts for key terms and metadata.

LinkSquares partnered with SFL Scientific and deployed a custom NLP machine-learning solution on AWS (PoC delivered in one month). The system tokenizes documents, applies feature engineering and a stacked-ensemble model to classify terms, and runs automatically on upload—enabling analysis of thousands of documents in seconds, significantly faster reviews, improved tagging accuracy over human auditors, and scalable time and resource savings.


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LinkSquares

Vishal Sunak

Co-Founder and Chief Executive Officer


Amazon Web Services

2483 Case Studies