from ai to fastcase 7
play

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

  2. 2

  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

  12. 12

  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

  19. 19

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

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend