Assisted Decision Making
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This document discusses how big data and artificial intelligence can assist with legal decision making. It describes existing examples like FantasySCOTUS which crowdsources Supreme Court predictions and Harlan.co which uses data analysis to assist with litigation. The document argues that the next step is assisted decision making tools that can help non-lawyers understand their legal options by answering questions and providing personalized guidance.
Assisted Decision Making
- 1. Assisted Decision Making Big Data and the Law Josh Blackman
- 2. "The object of our study, then, is prediction, the prediction of the incidence of the public force through the instrumentality of the courts." -Oliver Wendell Holmes, Jr. The Path of the Law (1897)
- 7. Crowdsourcing The Supreme Court
- 9. Predict How The Justices Will Vote
- 12. The Wisdom of the Crowds
- 15. What's next?
- 17. How do we get there?
- 18. From Crowdsourcing to Super Crunching
- 23. Viewing The Law As Data
- 25. Crunch Data about: •  Cases •  Motions •  Opinions •  Dates •  Judges •  Firms •  Lawyers •  Parties
- 26. Introducing Harlan.co Big Data Meets Big Law
- 35. The Future: Assisted Decision Making
- 37. "I want to draft a contract with . . . specifications." I have a few follow-up questions: 1. Where will the contract be executed? 2. What are the possible remedies in case of a breach of contract? 3. Do the parties have adequate insurance? Shall I draft the contract?
- 38. Access to Justice Assisted Decision Making for Non-Lawyers
- 39. "My landlord won't fix my heat." You have several options: - Call Tenant's Rights Dept. - Draft Demand Letter - File Pro Se Suit in Court - Contact Housing Lawyer Select an option to learn more.
- 40. Assisted Decision Making Big Data Meets Big Law
- 41. email: JBlackman@HarlanInstitute.org phone: 202-294-9003 twitter: @JoshBTweets