Using legal data that is hidden in words, lines, nooks and crannies

Back in March this year, the brilliant Colin Lachance and I had a conversation about his joint venture, Jurisage, knowledge graphs, and legal data.

Between the conversation with Colin and now, I had moved from Australia back to the US with a newborn in tow. It was several months before I could carve out an afternoon to review and edit this video. To my delight, the content of our discussion held up extremely well even after several months, lending one more data point to the argument that good content does not go stale.

For those interested in using data to solve legal problems, it would be worth your while to take a look at this video for our in-depth discussion about:

  • what is Jurisage doing

  • how to apply advanced AI (sentence level classifier) to solve real problems that lawyers face

  • making use of knowledge graphs for legal information

  • how to iteratively improve knowledge graphs over time

  • what is legal data - including “the exhaust that is created by activities with legal information”

  • how can legal data be used to solve problems

  • how does legal data map to knowledge graphs

  • what sort of data analytics can be done to legal data

  • how do you start your data analytics journey

... [don’t] approach it from the perspective of build the model first, then find the predictor... [instead] try and understand at a human level the things people care about... if you approach it from the perspective of taking deep, deep, deep, deep expertise, and then breaking the decisions down, building systems up, and then applying AI to develop your analytics and predictive models - great!
— From timestamp 26:45
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