Heretik

“We are dealing with very complex corporate agreements, and there's some structure to them,’’ Abbott explains. “But there's a lot of nuances and differences between each agreement. We realized that we needed to identify certain elements in order to train our models effectively. We also realized that we wanted to bring a very general solution to the market, which required us to have training data across many areas of law.’’

With hundreds of thousands of documents to label in order to train the model, Heretik looked for data labeling vendors. Abbott nixed the crowdsourcing option because legal documents require a certain level of domain knowledge and reliability to tag correctly.

He wasn’t necessarily looking for people who already had that knowledge. Instead, he wanted a group that could be trained and would stick with the work. “As opposed to a crowdsourcing solution where people roll on and off pretty frequently,’’ Abbott says.

Abbott says that data scientists tend to spend upwards of 80% of their time on a typical data project performing tedious tasks related to training the data such as annotation and organization. He estimates that CloudFactory’s help has cut data preparation time by more than half. “We’ve been able to significantly accelerate our data science research. That’s sped up product development, especially early on where we cut in half the time it took to do some initial training of the data,’’ Abbott says.

Abbott has also been pleased with the CloudFactory team. “They've been on top of things and very responsive when we needed them.”

“CloudFactory’s help has been impactful in getting our product to market. It's helped us get customers and revenue sooner than we probably would have without their help.’’