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Survey of Law Library Use of Artificial Intelligence

  • ID: 4752195
  • Report
  • February 2019
  • Region: Global
  • 90 pages
  • Primary Research Group
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The 90-page study presents data and commentary from 72 law libraries predominantly from the USA and Canada, about their use of artificial intelligence products in legal research and other applications.  In addition, the study highlights how these libraries are educating their patrons in artificial intelligence approaches to legal research and organizational management.  Survey participants also rate the impact and expected impact of artificial intelligence on various aspects of the legal profession including legal research, eDiscovery, law services marketing and other areas.  Survey takers name the artificial intelligence products that have most affected their operations thus far; specific data is presented on the extent of use by those in the sample of a broad range of artificial intelligence products.

Data in the report is broken out for many different organizations, i.e., law firms (about 30 in the sample) university law libraries (16) and other types of law libraries.  In addition, data is broken out by age, gender and other variables related to wither the law libraries and the individuals taking the survey. 

Just a few of this pathbreaking report’s many findings are that:

  • 2.78% of respondents indicated their organization had used artificial intelligence tools for predicting length of sentence or likelihood of imprisonment.
  • 40% of law firms sampled were using artificial intelligence tools to predict money awards of damages.
  • Respondents under the age of 45 were much more likely than older survey participants to say that artificial intelligence approaches had  significantly impacted docket searching.
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THE QUESTIONNAIRE

PARTICIPANTS LIST
Characteristics of the Sample

SUMMARY OF MAIN FINDINGS
Does your organization use any law-related artificial intelligence products that offer analytics features that seek to predict quantitative variables such as settlement sums, bail, sentences, settlement likelihood and other variables?
If your organization has used such artificial intelligence tools, have they been used for any of the following purposes?
Bail amounts or terms
Length of sentence of imprisonment
Amount of award of damages
Litigation costs
Speed or length of trial
Client likelihood to pay legal fees
Other
Which artificial intelligence products in law have most impacted your organization thus far?
Has your library tested, subscribed to, purchased or otherwise used any products by any of the following purveyors of artificial intelligence in legal research?
Ross Intelligence
eBrevia
InnovationQ
LawGeex
Kira Systems
Diligence
Luminance
Legal Sifter
Contract Companion
NLPatent
Specif.io
EVA
COIN (Contract Intelligence)
Legal Robot
Brainspace
Points of Law
Westlaw Edge
Other
Rank the following areas to the extent that you believe that artificial intelligence products and approaches have or will impact your work.
Contract development and management
Legal services marketing
eDiscovery
Docket searching
Legal research
What has your library done to inform and train library patrons in the use of artificial intelligence products in law?
Law firms
Corporate/Other Government/Other
University
Courthouse
Which departments, practices or areas of law have so far been the heaviest users of artificial intelligence products in law, and what are they using them for?
Law Firm
Corporate/Other Government/Other
University
Courthouse

List of Tables
Table 1.1 Does your organization use any law-related artificial intelligence  products that offer analytics features that seek to predict quantitative variables such as settlement sums, bail, sentences, settlement likelihood and other variables?
Table 1.2 Does your organization use any law-related artificialintelligence  products that offer analytics features that seek to predictquantitative variables such as settlement sums, bail, sentences, settlementlikelihood and other variables? Broken out by type of parent organization
Table 1.3 Does your organization use any law-related artificialintelligence  products that offer analytics features that seek to predictquantitative variables such as  settlement sums, bail, sentences, settlementlikelihood and other variables? Broken out by number of full time equivalentlibrary staff
Table 1.4 Does your organization use any law-related artificialintelligence  products that offer analytics features that seek to predictquantitative variables such as settlement sums, bail, sentences, settlementlikelihood and other variables? Broken out by age of the survey participant
Table 1.5 Does your organization use any law-related artificialintelligence  products that offer analytics features that seek to predictquantitative variables such as settlement sums, bail, sentences, settlementlikelihood and other variables? Broken out by how would you judge yourpersonal level of familiarity with emerging technologies in the legal sector?
Table 1.6 Does your organization use any law-related artificialintelligence  products that offer analytics features that seek to predictquantitative variables such as settlement sums, bail, sentences, settlementlikelihood and other variables? Broken out by gender of the survey participant
Table 1.7 Does your organization use any law-related artificialintelligence  products that offer analytics features that seek to predictquantitative variables such as settlement sums, bail, sentences, settlementlikelihood and other variables? Broken out by educational background of thesurvey participant
Table 2 Have artificial intelligence tools been used for any of the followingpurposes? Check all that apply.
Table 2.1.1 Have artificial intelligence tools been used for predicting bailamounts or terms?
Table 2.2.1 Have artificial intelligence tools been used for predicting length ofsentence of imprisonment?
Table 2.2.2 Have artificial intelligence tools been used for predicting length ofsentence of imprisonment?  Broken out by type of parent organization
Table 2.2.3 Have artificial intelligence tools been used for predicting length ofsentence of imprisonment?  Broken out by number of full time equivalentlibrary staff
Table 2.2.4 Have artificial intelligence tools been used for predicting length ofsentence of imprisonment?  Broken out by age of the survey participant
Table 2.2.5 Have artificial intelligence tools been used for predicting length ofsentence of imprisonment?  Broken out by how would you judge your personallevel of familiarity with emerging technologies in the legal sector?
Table 2.2.6 Have artificial intelligence tools been used for predicting length ofsentence of imprisonment?  Broken out by gender of the survey participant
Table 2.2.7 Have artificial intelligence tools been used for predicting length ofsentence of imprisonment?  Broken out by educational background of thesurvey participant
Table 2.3.1 Have artificial intelligence tools been used for predicting anamount of award of damages?
Table 2.3.2 Have artificial intelligence tools been used for predicting anamount of award of damages?  Broken out by type of parent organization
Table 2.3.3 Have artificial intelligence tools been used for predicting anamount of award of damages?  Broken out by number of full time equivalentlibrary staff
Table 2.3.4 Have artificial intelligence tools been used for predicting an amount of award of damages?  Broken out by age of the survey participant
Table 2.3.5 Have artificial intelligence tools been used for predicting anamount of award of damages?  Broken out by how would you judge yourpersonal level of familiarity with emerging technologies in the legal sector?
Table 2.3.6 Have artificial intelligence tools been used for predicting an amount of award of damages?  Broken out by gender of the survey participant
Table 2.3.7 Have artificial intelligence tools been used for predicting anamount of award of damages?  Broken out by educational background of thesurvey participant 
Table 2.4.1 Have artificial intelligence tools been used for predicting litigationcosts?
Table 2.4.2 Have artificial intelligence tools been used for predicting litigationcosts?  Broken out by type of parent organization
Table 2.4.3 Have artificial intelligence tools been used for predicting litigationcosts?  Broken out by number of full time equivalent library staff
Table 2.4.4 Have artificial intelligence tools been used for predicting litigationcosts?  Broken out by age of the survey participant
Table 2.4.5 Have artificial intelligence tools been used for predicting litigationcosts?  Broken out by how would you judge your personal level of familiaritywith emerging technologies in the legal sector?
Table 2.4.6 Have artificial intelligence tools been used for predicting litigationcosts?  Broken out by gender of the survey participant
Table 2.4.7 Have artificial intelligence tools been used for predicting litigationcosts?  Broken out by educational background of the survey participant
Table 2.5.1 Have artificial intelligence tools been used for predicting speed orlength of trial?
Table 2.5.2 Have artificial intelligence tools been used for predicting speed orlength of trial?  Broken out by type of parent organization
Table 2.5.3 Have artificial intelligence tools been used for predicting speed orlength of trial?  Broken out by number of full time equivalent library staff
Table 2.5.4 Have artificial intelligence tools been used for predicting speed orlength of trial?  Broken out by age of the survey participant
Table 2.5.5 Have artificial intelligence tools been used for predicting speed orlength of trial?  Broken out by how would you judge your personal level offamiliarity with emerging technologies in the legal sector?
Table 2.5.6 Have artificial intelligence tools been used for predicting speed orlength of trial?  Broken out by gender of the survey participant
Table 2.5.7 Have artificial intelligence tools been used for predicting speed orlength of trial?  Broken out by educational background of the surveyparticipant
Table 2.6.1 Have artificial intelligence tools been used for predicting clientlikelihood to pay legal fees?
Table 2.6.2 Have artificial intelligence tools been used for predicting clientlikelihood to pay legal fees?  Broken out by type of parent organization
Table 2.6.3 Have artificial intelligence tools been used for predicting clientlikelihood to pay legal fees?  Broken out by number of full time equivalentlibrary staff
Table 2.6.4 Have artificial intelligence tools been used for predicting clientlikelihood to pay legal fees?  Broken out by age of the survey participant
Table 2.6.5 Have artificial intelligence tools been used for predicting clientlikelihood to pay legal fees?  Broken out by how would you judge yourpersonal level of familiarity with emerging technologies in the legal sector?
Table 2.6.6 Have artificial intelligence tools been used for predicting clientlikelihood to pay legal fees?  Broken out by gender of the survey participant .
Table 2.6.7 Have artificial intelligence tools been used for predicting clientlikelihood to pay legal fees?  Broken out by educational background of thesurvey participant Which artificial intelligence products in law have most impacted yourorganization thus far? Broken out by type of parent organization
Table 3 Has your library tested, subscribed to, purchased or otherwise used anyproducts from any of the following purveyors of artificial intelligence in legalresearch?
Table 3.1.1 Has your library tested, subscribed to, purchased or otherwiseused any products from Ross Intelligence?
Table 3.1.2 Has your library tested, subscribed to, purchased or otherwiseused any products from Ross Intelligence? Broken out by type of parentorganization
Table 3.1.3 Has your library tested, subscribed to, purchased or otherwiseused any products from Ross Intelligence? Broken out by number of full timeequivalent library staff
Table 3.1.4 Has your library tested, subscribed to, purchased or otherwiseused any products from Ross Intelligence? Broken out by age of the surveyparticipant
Table 3.1.5 Has your library tested, subscribed to, purchased or otherwiseused any products from Ross Intelligence? Broken out by how would youjudge your personal level of familiarity with emerging technologies in the legalsector?
Table 3.1.6 Has your library tested, subscribed to, purchased or otherwiseused any products from Ross Intelligence? Broken out by gender of the surveyparticipant
Table 3.1.7 Has your library tested, subscribed to, purchased or otherwiseused any products from Ross Intelligence? Broken out by educationalbackground of the survey participant
Table 3.2.1 Has your library tested, subscribed to, purchased or otherwiseused any products from eBrevia?
Table 3.2.2 Has your library tested, subscribed to, purchased or otherwiseused any products from eBrevia? Broken out by type of parent organization .
Table 3.2.3 Has your library tested, subscribed to, purchased or otherwiseused any products from eBrevia? Broken out by number of full time equivalentlibrary staff
Table 3.2.4 Has your library tested, subscribed to, purchased or otherwiseused any products from eBrevia? Broken out by age of the survey participant
Table 3.2.5 Has your library tested, subscribed to, purchased or otherwiseused any products from eBrevia? Broken out by how would you judge yourpersonal level of familiarity with emerging technologies in the legal sector?
Table 3.2.6 Has your library tested, subscribed to, purchased or otherwiseused any products from eBrevia? Broken out by gender of the surveyparticipant
Table 3.2.7 Has your library tested, subscribed to, purchased or otherwiseused any products from eBrevia? Broken out by educational background of thesurvey participant
Table 3.3.1 Has your library tested, subscribed to, purchased or otherwiseused any products from InnovationQ?
Table 3.4.1 Has your library tested, subscribed to, purchased or otherwiseused any products by LawGeex?
Table 3.4.2 Has your library tested, subscribed to, purchased or otherwiseused any products from LawGeex? Broken out by type of parent organization
Table 3.4.3 Has your library tested, subscribed to, purchased or otherwiseused any products from LawGeex? Broken out by number of full timeequivalent library staff
Table 3.4.4 Has your library tested, subscribed to, purchased or otherwiseused any products from LawGeex? Broken out by age of the survey participant
Table 3.4.5 Has your library tested, subscribed to, purchased or otherwiseused any products from LawGeex? Broken out by how would you judge yourpersonal level of familiarity with emerging technologies in the legal sector?
Table 3.4.6 Has your library tested, subscribed to, purchased or otherwiseused any products from LawGeex? Broken out by gender of the surveyparticipant
Table 3.4.7 Has your library tested, subscribed to, purchased or otherwiseused any products from LawGeex? Broken out by educational background ofthe survey participant
Table 3.5.1 Has your library tested, subscribed to, purchased or otherwiseused any products from Kira Systems?
Table 3.5.2 Has your library tested, subscribed to, purchased or otherwiseused any products from Kira Systems? Broken out by type of parentorganization
Table 3.5.3 Has your library tested, subscribed to, purchased or otherwiseused any products from Kira Systems? Broken out by number of full timeequivalent library staff
Table 3.5.4 Has your library tested, subscribed to, purchased or otherwiseused any products from Kira Systems? Broken out by age of the surveyparticipant
Table 3.5.5 Has your library tested, subscribed to, purchased or otherwiseused any products from Kira Systems? Broken out by how would you judgeyour personal level of familiarity with emerging technologies in the legalsector?
Table 3.5.6 Has your library tested, subscribed to, purchased or otherwiseused any products from Kira Systems? Broken out by gender of the surveyparticipant
Table 3.5.7 Has your library tested, subscribed to, purchased or otherwiseused any products from Kira Systems? Broken out by educational backgroundof the survey participant
Table 3.6.1 Has your library tested, subscribed to, purchased or otherwiseused any products from Diligence?
Table 3.6.2 Has your library tested, subscribed to, purchased or otherwiseused any products from Diligence? Broken out by type of parent organization
Table 3.6.3 Has your library tested, subscribed to, purchased or otherwiseused any products from Diligence? Broken out by number of full timeequivalent library staff 
Table 3.6.4 Has your library tested, subscribed to, purchased or otherwiseused any products from Diligence? Broken out by age of the survey participant
Table 3.6.5 Has your library tested, subscribed to, purchased or otherwiseused any products from Diligence? Broken out by how would you judge yourpersonal level of familiarity with emerging technologies in the legal sector?
Table 3.6.6 Has your library tested, subscribed to, purchased or otherwiseused any products from Diligence? Broken out by gender of the surveyparticipant
Table 3.6.7 Has your library tested, subscribed to, purchased or otherwiseused any products from Diligence? Broken out by educational background ofthe survey participant
Table 3.7.1 Has your library tested, subscribed to, purchased or otherwiseused any products from Luminance?
Table 3.7.2 Has your library tested, subscribed to, purchased or otherwiseused any products from Luminance? Broken out by type of parentorganization
Table 3.7.3 Has your library tested, subscribed to, purchased or otherwiseused any products from Luminance? Broken out by number of full timeequivalent library staff
Table 3.7.4 Has your library tested, subscribed to, purchased or otherwiseused any products from Luminance? Broken out by age of the surveyparticipant
Table 3.7.5 Has your library tested, subscribed to, purchased or otherwiseused any products from Luminance? Broken out by how would you judge yourpersonal level of familiarity with emerging technologies in the legal sector?
Table 3.7.6 Has your library tested, subscribed to, purchased or otherwiseused any products from Luminance? Broken out by gender of the surveyparticipant
Table 3.7.7 Has your library tested, subscribed to, purchased or otherwiseused any products from Luminance? Broken out by educational background ofthe survey participant
Table 3.8.1 Has your library tested, subscribed to, purchased or otherwiseused any products from Legal Sifter?
Table 3.9.1 Has your library tested, subscribed to, purchased or otherwiseused any products by Contract Companion?
Table 3.9.2 Has your library tested, subscribed to, purchased or otherwiseused any products from Contract Companion? Broken out by type of parentorganization
Table 3.9.3 Has your library tested, subscribed to, purchased or otherwiseused any products from Contract Companion? Broken out by number of fulltime equivalent library staff
Table 3.9.4 Has your library tested, subscribed to, purchased or otherwiseused any products from Contract Companion? Broken out by age of the surveyparticipant
Table 3.9.5 Has your library tested, subscribed to, purchased or otherwiseused any products from Contract Companion? Broken out by how would youjudge your personal level of familiarity with emerging technologies in the legalsector?
Table 3.9.6 Has your library tested, subscribed to, purchased or otherwiseused any products from Contract Companion? Broken out by gender of thesurvey participant
Table 3.9.7 Has your library tested, subscribed to, purchased or otherwiseused any products from Contract Companion? Broken out by educationalbackground of the survey participant
Table 3.10.1 Has your library tested, subscribed to, purchased or otherwiseused any products from NLPatent?
Table 3.11.1 Has your library tested, subscribed to, purchased or otherwiseused any products by Specif.io?
Table 3.12.1 Has your library tested, subscribed to, purchased or otherwiseused any products from EVA?
Table 3.12.2 Has your library tested, subscribed to, purchased or otherwiseused any products from EVA? Broken out by type of parent organization
Table 3.12.3 Has your library tested, subscribed to, purchased or otherwiseused any products from EVA? Broken out by number of full time equivalentlibrary staff
Table 3.12.4 Has your library tested, subscribed to, purchased or otherwiseused any products from EVA? Broken out by age of the survey participant
Table 3.12.5 Has your library tested, subscribed to, purchased or otherwiseused any products from EVA? Broken out by how would you judge yourpersonal level of familiarity with emerging technologies in the legal sector?
Table 3.12.6 Has your library tested, subscribed to, purchased or otherwiseused any products from EVA? Broken out by gender of the survey participant
Table 3.12.7 Has your library tested, subscribed to, purchased or otherwiseused any products from EVA? Broken out by educational background of thesurvey participant
Table 3.13.1 Has your library tested, subscribed to, purchased or otherwiseused any products from COIN (Contract Intelligence)?
Table 3.14.1 Has your library tested, subscribed to, purchased or otherwiseused any products from Legal Robot?
Table 3.15.1 Has your library tested, subscribed to, purchased or otherwiseused any products from Brainspace?
Table 3.16.1 Has your library tested, subscribed to, purchased or otherwiseused any products from Points of Law?
Table 3.16.2 Has your library tested, subscribed to, purchased or otherwiseused any products from Points of Law? Broken out by type of parentorganization
Table 3.16.3 Has your library tested, subscribed to, purchased or otherwiseused any products from Points of Law? Broken out by number of full timeequivalent library staff
Table 3.16.4 Has your library tested, subscribed to, purchased or otherwiseused any products from Points of Law? Broken out by age of the surveyparticipant
Table 3.16.5 Has your library tested, subscribed to, purchased or otherwiseused any products from Points of Law? Broken out by how would you judgeyour personal level of familiarity with emerging technologies in the legalsector? 
Table 3.16.6 Has your library tested, subscribed to, purchased or otherwiseused any products from Points of Law? Broken out by gender of the surveyparticipant
Table 3.16.7 Has your library tested, subscribed to, purchased or otherwiseused any products from Points of Law? Broken out by educational backgroundof the survey participant
Table 3.17.1 Has your library tested, subscribed to, purchased or otherwiseused any products from Westlaw Edge?
Table 3.17.2 Has your library tested, subscribed to, purchased or otherwiseused any products from Westlaw Edge? Broken out by type of parentorganization
Table 3.17.3 Has your library tested, subscribed to, purchased or otherwiseused any products from Westlaw Edge? Broken out by number of full timeequivalent library staff
Table 3.17.4 Has your library tested, subscribed to, purchased or otherwiseused any products from Westlaw Edge? Broken out by age of the surveyparticipant
Table 3.17.5 Has your library tested, subscribed to, purchased or otherwiseused any products from Westlaw Edge? Broken out by how would you judgeyour personal level of familiarity with emerging technologies in the legalsector?
Table 3.17.6 Has your library tested, subscribed to, purchased or otherwiseused any products from Westlaw Edge? Broken out by gender of the surveyparticipant
Table 3.17.7 Has your library tested, subscribed to, purchased or otherwiseused any products from Westlaw Edge? Broken out by educationalbackground of the survey participant
Table 4 Rate the following areas to the extent that you believe that artificialintelligence products and approaches have or will impact your work
Table 4.1.1 Rate the impact of AI products on contract development andmanagement
Table 4.1.2 Rate the impact of AI products on contract development andmanagement Broken out by type of parent organization
Table 4.1.3 Rate the impact of AI products on contract development andmanagement Broken out by number of full time equivalent library staff
Table 4.1.4 Rate the impact of AI products on contract development andmanagement Broken out by age of the survey participant
Table 4.1.5 Rate the impact of AI products on contract development andmanagement Broken out by how would you judge your personal level offamiliarity with emerging technologies in the legal sector?
Table 4.1.6 Rate the impact of AI products on contract development andmanagement Broken out by gender of the survey participant
Table 4.1.7 Rate the impact of AI products on contract development andmanagement Broken out by educational background of the survey participant
Table 4.2.1 Rate the impact of AI products on legal services marketing
Table 4.2.2 Rate the impact of AI products on legal services marketing Brokenout by type of parent organization
Table 4.2.3 Rate the impact of AI products on legal services marketing Brokenout by number of full time equivalent library staff
Table 4.2.4 Rate the impact of AI products on legal services marketing Brokenout by age of the survey participant
Table 4.2.5 Rate the impact of AI products on legal services marketing Brokenout by how would you judge your personal level of familiarity with emergingtechnologies in the legal sector?
Table 4.2.6 Rate the impact of AI products on legal services marketing Brokenout by gender of the survey participant
Table 4.2.7 Rate the impact of AI products on legal services marketing Brokenout by educational background of the survey participant
Table 4.3.1 Rate the impact of AI products on eDiscovery.
Table 4.3.2 Rate the impact of AI products on eDiscovery. Broken out by typeof parent organization
Table 4.3.3 Rate the impact of AI products on eDiscovery. Broken out bynumber of full time equivalent library staff
Table 4.3.4 Rate the impact of AI products on eDiscovery. Broken out by age ofthe survey participant
Table 4.3.5 Rate the impact of AI products on eDiscovery. Broken out by howwould you judge your personal level of familiarity with emerging technologiesin the legal sector?
Table 4.3.6 Rate the impact of AI products on eDiscovery. Broken out bygender of the survey participant
Table 4.3.7 Rate the impact of AI products on eDiscovery. Broken out byeducational background of the survey participant
Table 4.4.1 Rate the impact of AI products on docket searching
Table 4.4.2 Rate the impact of AI products on docket searching Broken out bytype of parent organization
Table 4.4.3 Rate the impact of AI products on docket searching Broken out bynumber of full time equivalent library staff
Table 4.4.4 Rate the impact of AI products on docket searching Broken out byage of the survey participant
Table 4.4.5 Rate the impact of AI products on docket searching Broken out byhow would you judge your personal level of familiarity with emergingtechnologies in the legal sector?
Table 4.4.6 Rate the impact of AI products on docket searching Broken out bygender of the survey participant
Table 4.4.7 Rate the impact of AI products on docket searching Broken out byeducational background of the survey participant
Table 4.5.1 Rate the impact of AI products on legal research
Table 4.5.2 Rate the impact of AI products on legal research Broken out bytype of parent organization
Table 4.5.3 Rate the impact of AI products on legal research Broken out bynumber of full time equivalent library staff
Table 4.5.4 Rate the impact of AI products on legal research Broken out by ageof the survey participant
Table 4.5.5 Rate the impact of AI products on legal research Broken out byhow would you judge your personal level of familiarity with emergingtechnologies in the legal sector?
Table 4.5.6 Rate the impact of AI products on legal research Broken out bygender of the survey participant
Table 4.5.7 Rate the impact of AI products on legal research Broken out byeducational background of the survey participant What has your library done to inform and train library patrons in the use ofartificial intelligence products in law? Broken out by type of parent organization Which departments, practices or areas of law have so far been the heaviest usersof artificial intelligence products in law, and what are they using them for?Broken out by type of parent organization 

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