In this episode of The Kennedy-Mighell Report, hosts Dennis Kennedy and Tom Mighell consider the increased popularity of artificial intelligence, the usefulness of chatbots, and how both innovations can impact the practice of law. Tom speculates that the current data age and the large volumes of information available for analysis have helped to enable the advancements in machine learning and artificial intelligence. Dennis explores exactly what machine learning means and explains the three current learning types: unsupervised, supervised, and reinforced. Tom finds the technology perplexing and uses the definition of Tenser Flow to illustrate how grasping these advanced concepts requires more education and technology knowledge than the average lawyer possesses. They both discuss the AI lawyer Ross and if legal professionals should gain technical knowledge in order to influence future ethical regulations with emergent technology. They end the first segment with a list of possible ways that these advancements in tech can aid lawyers in their everyday lives.
In the second segment of the podcast, Dennis and Tom talk about chatbots and how they can help lawyers with their daily tasks. Dennis proposes that they get a chatbot for the show and Tom strongly disagrees. Tom emphasizes that there are two ways to create a chatbot: programming one manually or allowing one to learn via data analysis and that he is fine observing what innovations programmers create. They both discuss how chatbots can help lawyers automate their scheduling needs and how utilizing this technology can save law practitioners valuable time. As always, stay tuned for Parting Shots, that one tip, website, or observation you can use the second the podcast ends.
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