AI Identifies Legal Risks in NDAs

LawGeex, an Israel-based startup focused on automating contract reviews, released a study showing its deep learning software outperforms lawyers at identifying legal risks in nondisclosure agreement contracts.

“Don’t expect machines to kill lawyers’ careers though,” said Shmuli Goldberg, vice president of marketing at LawGeex. He likened the use of LawGeex AI to people using spellcheckers in their emails or pilots using autopilot on planes, both enhancing their work.

Using Tesla P100 GPUs on the Amazon cloud and the cuDNN-accelerated TensorFlow deep learning framework, the team trained their neural networks on tens of thousands of NDAs. The trained software reached 94 percent accuracy in surfacing risks in previously unseen NDA contracts compared to the lawyers used in the study who had an average of 85 percent.

The AI was also several hundred times faster at the job – they did the NDA reviews in only 26 seconds, versus a span of about 1 to 2.5 hours for the lawyers.

In a study, 20 experienced US-trained lawyers were pitted against the LawGeex Artificial Intelligence algorithm. The 40-page study details how AI has overtaken top lawyers for the first time in accurately spotting risks in everyday business contracts.

“Lawyers are realizing this actually can make their job better,” Goldberg said. “This work is the everyday gruntwork, and most lawyers can’t wait for an AI to take it off their plate.”

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About Brad Nemire

Brad Nemire
Brad Nemire is on the Developer Marketing team and loves reading about all of the fascinating research being done by developers using NVIDIA GPUs. Reach out to Brad on Twitter @BradNemire and let him know how you’re using GPUs to accelerate your research. Brad graduated from San Diego State University and currently resides in San Jose, CA. Follow @BradNemire on Twitter