Tim Hwang, co-founder and CEO of FiscalNote, answers an audience question about extending FiscalNote's predictive analytics framework to trial law and litigation outcomes.
“In the future we might have something like, ah, high frequency litigation, and that's, I don't think that's too far from the truth in terms of being able to understand and, ah, predict these types of outcomes based off of, ah, past datasets.”
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More from Tim Hwang
AssertionNot checkable as stated
FiscalNote's prediction algorithms determine bill passage with 94% accuracy
“Currently, our prediction algorithms are about 94% accurate in being able to determine at first reader whether or not a bill is going to pass.”
Tim HwangJan 16, 2014▶ 4:22Tim Hwang, FiscalNote // Data Driven NYC 21 // Dec 2013 (Hosted by FirstMark Capital)
AssertionNot checkable as stated
Tim Hwang: 90% to 95% of government data is unstructured
“90 to 95% of government data is unstructured.”
Tim HwangJan 16, 2014▶ 1:09Tim Hwang, FiscalNote // Data Driven NYC 21 // Dec 2013 (Hosted by FirstMark Capital)
AssertionNot checkable as stated
Tim Hwang states state legislation impacts $4 trillion in US spending
“So, state legislation obviously impacts almost four trillion dollars in in, ah, in our economy spending today.”
Tim HwangJan 16, 2014▶ 5:59Tim Hwang, FiscalNote // Data Driven NYC 21 // Dec 2013 (Hosted by FirstMark Capital)
AssertionPartly supported
Tim Hwang says roughly 94% of New York state legislative bills fail
“In New York, I think something like 93 or 94% of bills end up failing you know, by the time they get to committee.”
Tim HwangJan 16, 2014▶ 22:06Tim Hwang, FiscalNote // Data Driven NYC 21 // Dec 2013 (Hosted by FirstMark Capital)
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