For more information on Fin (Legal) Tech — see here!
I am excited to speak tomorrow at the 2016 General Counsel Summit in London presented by The Economist Magazine.
It will be a short trip to London for me as I will be flying back on Thursday in time for final preparations for the Fin(Legal)Tech Conference that I am helping organize November 4th 2016 at Illinois Tech – Chicago Kent College of Law.
I look forward to seeing folks in London and Chicago later this week!
When it comes to prediction – law would benefit from better applying the tools of STEM / Finance / Insurance and so in that spirit — our company recently launched LexSemble and it allows for near frictionless crowd sourcing of predictions in law (and beyond). Many potential applications in law including early (and ongoing) case assessment in litigation, forecasting various sorts of transactional outcomes and predicting the actions of regulators, etc. It also has a range of machine learning capabilities which allow for crowd segmentation, expert weighting, natural language processing on relevant documents, etc.
Learn More: https://lexsemble.com/features.html
From the article: “The prevalence of noise has been demonstrated in several studies. Academic researchers have repeatedly confirmed that professionals often contradict their own prior judgments when given the same data on different occasions. For instance, when software developers were asked on two separate days to estimate the completion time for a given task, the hours they projected differed by 71%, on average. When pathologists made two assessments of the severity of biopsy results, the correlation between their ratings was only .61 (out of a perfect 1.0), indicating that they made inconsistent diagnoses quite frequently. Judgments made by different people are even more likely to diverge. Research has confirmed that in many tasks, experts’ decisions are highly variable: valuing stocks, appraising real estate,sentencing criminals, evaluating job performance, auditing financial statements, and more. The unavoidable conclusion is that professionals often make decisions that deviate significantly from those of their peers, from their own prior decisions, and from rules that they themselves claim to follow.”
Suffice to say we at LexPredict agree. Indeed, building from our work on Fantasy SCOTUS where our expert crowd outperforms any known single alternative (including the highest ranked Fantasy SCOTUS player), we have recently launched LexSemble (our configurable crowdsourcing platform) in order to help legal and other related organizations make better decisions (in transactions, litigation, regulatory matters, etc.).
We are working to pilot with a number of industry partners interested in applying underwriting techniques to more rigorously support their decision making. This is also an example of what we have been calling Fin(Legal)Tech (the financialization of law). If you want to learn more please sign up for our Fin(Legal)Tech conference coming on November 4th in Chicago) (tickets are free but space is limited).