How AI, Machine Learning & Big Data are Affecting the Legal Industry
As the integration of Artificial Intelligence, Machine Learning and Big Data in the workplace is becoming the new norm, concerns are increasing over how…
August 23, 2017 at 12:02 AM
5 minute read
The original version of this story was published on Law.com
As the integration of Artificial Intelligence, Machine Learning and Big Data in the workplace is becoming the new norm, concerns are increasing over how the technology could affect employee performance, job security and the adaptation and reliance of technology in the legal industry.
Raj Goyle, former Kansas State Representative, Harvard Law graduate and Co-Founder/CEO of LawTech platform Bodhala, sat down with Inside Counsel to discuss why AI, Machine Learning and Big Data are not costing jobs when correctly implemented, how technology eliminating inefficiencies within the workplace, and why is legal one of the last spaces to embrace tech integration.
Over the last 20 years, mastering data has enabled new players to leapfrog power players and build dominant positions across all industries. Standing in the path of Moore's Law has proven to be a dangerous place. For example, technology giants like Google, Amazon, and Facebook have flattened scores of companies in verticals like advertising, retail, and media – all who assumed they were in a traditional industry immune to newcomers. And, these same trends are driving the integration of AI, Machine Learning and Big Data in legal. Every day, Goyle hears from GCs and law firm chairs who are scrambling to understand how data can help them in their mission.
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