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Legal professionals are turning to technology and automation to help them make better, faster decisions for their clients.
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.
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.
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.
Our managed teams have served hundreds of clients across use cases that range from simple to complex.
Our proven processes deliver quality data quickly and are designed to scale and change along with your needs.
Flexible contract terms and pricing help you to get started quickly and to scale up and down as needed with no lock-in.
Data scientists at Hivemind created three data labeling tasks and hired two teams to complete them. The differences in data accuracy, speed, and cost may surprise you.
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.
We share lessons learned over 10 years of helping our clients build high-quality datasets for NLP and other machine learning applications.
Questions about training data or want to learn how CloudFactory can help lighten your team’s load?
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