from ai to fastcase 7
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From AI to Fastcase 7 Lee Van Duzer, J.D., M.L.S. Washington County - PowerPoint PPT Presentation

1 Developments in Legal Research: From AI to Fastcase 7 Lee Van Duzer, J.D., M.L.S. Washington County Law Librarian April 12, 2017 2 3 What it ROSS? [A] cognitive assistant to help us learn, search, retrieve, and analyze


  1. 1 Developments in Legal Research: From AI to Fastcase 7 Lee Van Duzer, J.D., M.L.S. Washington County Law Librarian April 12, 2017

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  3. 3 What it ROSS? • “[A] cognitive assistant to help us learn, search, retrieve, and analyze information.” ▫ Incorporates IBM’s Watson • Watson – IBM’s question answering computer; competed on Jeopardy! In 2011. ▫ Beat two previous champions. • “Watson is not one system. It’s not one supercomputer. It’s a set of services in the cloud that can be used and can be trained.”

  4. 4 What is A.I.? • A “device that perceives its environment and takes actions that maximize its chance of success at some goal.” • Mimics cognitive functions, such as learning and problem solving. • … also a really long movie.

  5. 5 Robot Lawyers • DoNotPay has successfully challenged 160,000 parking tickets in London and New York. • LawBot offers legal guidance to crime victims in the U.K. • Use guided questions (like Turbotax). • Have not successfully passed the Bar… yet.

  6. 6 You have already used A.I. • LexisNexis and Westlaw already use adaptive searching, in combination with their respective indexing systems (e.g. West’s Key Numbers). • Natural Language Processing is common in legal research. • But there are limitations – search engines, and A.I. are subject to the innate biases of their creators.

  7. 7 Legal Analytics • Mining large quantities of data using machine learning to find trends, insights, and forecast outcomes. • “We have to view technology as what it always has been — a tool for the betterment of the human condition. We should neither worship at the altar of technology nor be frightened of it.” ( The Signal and the Noise , Nate Silver, p. 291)

  8. 8 Specific Examples • Technology-assisted review in e-discovery. • Lex Machina ▫ IP and Antitrust ▫ Attempts to forecast outcomes • Ravel ▫ Anticipate how motions will fare before specific judges. • Premonition ▫ Analyze how specific attorneys fare with specific judges. ▫ [“]When attorneys try to tell us that winning isn’t important, we tell them that clients seem to like it.

  9. 9 Questions about AI • (Presenter makes no representation about being a technical expert in the field of AI)

  10. 10 Fastcase • No AI… Yet. ▫ Uses analytics and machine learning. • New Interface – Fastcase 7 ▫ Same content; new look  Coming to OSB within the next two months  Exclusive of Fastcase 6 by 2018

  11. 11 Fastcase 7

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  13. 13 Is a social host liable for injuries caused by an intoxicated guest

  14. 14 host /s liable /s injur* /s ((intoxicat* OR drunk) /5 guest)

  15. 15 Interactive Timeline

  16. 16 Outline View

  17. 17 Advanced Search

  18. 18 Authority Check

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  20. 20 Questions PowerPoint slides can be found at: http://www.co.washington.or.us/LawLibrary/cle-information.cfm

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