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Alexander Hudek , a computer scientist, founded the company in 2011, originally under the name DiligenceEngine (which I reviewed in 2014 ). The company developed what was the first of a now-common class of products that use machinelearning for contract review and analysis. Waisberg will serve as a strategic advisor to Litera.
To help drive its expansion, PacerPro has brought on a new chief technology officer, Dhana Bala , a Silicon Valley veteran with more than 17 years of experience in software engineering and leadership. I first wrote about PacerPro in 2014 for the ABA Journal. Dhana Bala. “We’re thrilled to be able to provide that.”
Until now, the state of the art for creating these diagrams has been Microsoft PowerPoint, according to Benjamin Alarie , cofounder and CEO of Blue J , a company that provides AI-powered legal and tax research and analysis software. Blue J’s technology evolved out of IBM’s 2014 Watson Challenge at the University of Toronto.
About the Author Adam Ziegler is a lawyer and software builder. He led the Caselaw Access Project and other work at Harvard’s Library Innovation Lab from 2014 to 2021. So we built custom software and adapted a hand-scanner system so we could check in every book at each station.
About the Author Adam Ziegler is a lawyer and software builder. He led the Caselaw Access Project and other work at Harvard’s Library Innovation Lab from 2014 to 2021. So we built custom software and adapted a hand-scanner system so we could check in every book at each station.
Because if it weren’t, if it were, say 90% with a machinelearning model, you wouldn’t trust this number. And so so once you have that good prompting, you I can do on the back end of my software, so the user doesn’t have to do it on the front end. And his precision rates on what you see right here is 99.6%. This is 99.6.
Because if it weren’t, if it were, say 90% with a machinelearning model, you wouldn’t trust this number. And so so once you have that good prompting, you I can do on the back end of my software, so the user doesn’t have to do it on the front end. And his precision rates on what you see right here is 99.6%. This is 99.6.
AI-assisted discrimination “Machinelearning is like money laundering for bias.” – Maciej Cegłowski [7] Employers can use AI to assist with a host of tasks. A funny example of this is Tay, a rudimentary AI chatbot designed by Microsoft that turned into a Nazi after only a day of “learning” on Twitter. [11]
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