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

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

May 29, 2023 180 likes •398 views

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

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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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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.”

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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.

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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.

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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.

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Legal Analytics

  • Mining large quantities of data using machine

learning to find trends, insights, and forecast

  • utcomes.
  • “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)

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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.

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Questions about AI

  • (Presenter makes no representation about being

a technical expert in the field of AI)

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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

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Fastcase 7

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

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

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Interactive Timeline

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Outline View

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Advanced Search

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Authority Check

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Questions

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