Legal Automation
Legal professionals are turning to technology and automation to help them make better, faster decisions for their clients.
Overview
New technology is helping legal professionals sift through briefs, discovery documents, depositions, and contracts they encounter each and every day. Legal document automation and natural language processing (NLP) applications can help lawyers find the most important information efficiently and effectively so they can make key decisions quickly and accurately. Carefully labeled data is necessary to draw out the intent of legal language and that’s where CloudFactory’s managed workforce can help.
Saving Time on Legal Contract Analysis
Heretik is a lightweight contract review application that pairs machine learning technology with workflow capabilities and integrates with existing contract management tools to reduce the time it takes to extract key information from a contract by two-thirds.
- Text annotation of legal contracts using client’s tool. Identifying contract structure, key entities, clauses, and other components of legal documents.
- Cut initial annotation time by 50% for training data.
We’ve been able to significantly accelerate our data science research. That’s sped up product development, especially early on where we cut out half the time it took to do some initial training of the data.
Andy Abbott
Co-Founder & CTO
Ready to Get Started?
Questions about training data or want to learn how CloudFactory can help lighten your team’s load?
How CloudFactory Works For You
Expand Your Team
Our managed teams have served hundreds of clients across use cases that range from simple to complex.
Quality at Scale
Our proven processes deliver quality data quickly and are designed to scale and change along with your needs.
Use Any Tool
Flexible contract terms and pricing help you to get started quickly and to scale up and down as needed with no lock-in.
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Learn what makes NLP development difficult, who’s doing it well, and how you can design your workforce to scale high-quality data processing for NLP.
Lessons Learned: 3 Essentials for Your NLP Data Workforce
We share lessons learned over 10 years of helping our clients build high-quality datasets for NLP and other machine learning applications.
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