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Redesigning a Document Viewer for Legal Documents

Authors:

Adam Roegiest,

Winter WeiAuthors Info & Claims

CHIIR '18: Proceedings of the 2018 Conference on Human Information Interaction & Retrieval

Pages 297 - 300

https://doi.org/10.1145/3176349.3176873

Published: 01 March 2018 Publication History

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Abstract

In Mergers and Acquisition due diligence, lawyers are tasked with analyzing a collection of contracts and determine the level of risk that comes from a merger or acquisition. This process has historically been manual and resulted in only a small fraction of the collection being examined. This paper reports on the user-focused redesign of our document viewer that is used by clients to review documents and train machine learning algorithms to find pertinent information from these contracts.

We present an overview of the due diligence task and the user stories, generated through analysis of support tickets, user interviews, and usability testing sessions, that we used to redesign our document viewer to accommodate the variety of workflows that our clients employ. Additionally, we detail the important design decisions made and discuss the implications of our redesign beyond our particular use case.

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Cited By

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Fok RLipka NSun TSiu A(2024)Marco: Supporting Business Document Workflows via Collection-Centric Information Foraging with Large Language ModelsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641969(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3641969
Donnelly JRoegiest Ad'Aquin MDietze SHauff CCurry ECudre Mauroux P(2020)The Utility of Context When Extracting Entities From Legal DocumentsProceedings of the 29th ACM International Conference on Information & Knowledge Management10.1145/3340531.3412746(2397-2404)Online publication date: 19-Oct-2020
https://dl.acm.org/doi/10.1145/3340531.3412746
Roegiest AMcNulty AAzzopardi LHalvey MRuthven IJoho HMurdock VQvarfordt P(2019)Variations in Assessor Agreement in Due DiligenceProceedings of the 2019 Conference on Human Information Interaction and Retrieval10.1145/3295750.3298945(243-247)Online publication date: 8-Mar-2019
https://dl.acm.org/doi/10.1145/3295750.3298945
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Index Terms

Redesigning a Document Viewer for Legal Documents
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. Usability testing
2. Information systems
  1. Information retrieval
    1. Users and interactive retrieval
      1. Search interfaces

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Information & Contributors

Information

Published In

CHIIR '18: Proceedings of the 2018 Conference on Human Information Interaction & Retrieval

March 2018

402 pages

ISBN:9781450349253

DOI:10.1145/3176349

General Chairs:
Chirag Shah
Rutgers University, USA
,
Nicholas J. Belkin
Rutgers University, USA
,
Program Chairs:
Katriina Byström
Oslo Metropolitan University, Norway
,
Jeff Huang
Brown University, USA
,
Falk Scholer
RMIT University, Australia

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 March 2018

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CHIIR '18

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SIGIR

CHIIR '18: Conference on Human Information Interaction and Retrieval

March 11 - 15, 2018

NJ, New Brunswick, USA

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CHIIR '18 Paper Acceptance Rate 22 of 57 submissions, 39%;

Overall Acceptance Rate 55 of 163 submissions, 34%

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Cited By

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Fok RLipka NSun TSiu A(2024)Marco: Supporting Business Document Workflows via Collection-Centric Information Foraging with Large Language ModelsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641969(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3641969
Donnelly JRoegiest Ad'Aquin MDietze SHauff CCurry ECudre Mauroux P(2020)The Utility of Context When Extracting Entities From Legal DocumentsProceedings of the 29th ACM International Conference on Information & Knowledge Management10.1145/3340531.3412746(2397-2404)Online publication date: 19-Oct-2020
https://dl.acm.org/doi/10.1145/3340531.3412746
Roegiest AMcNulty AAzzopardi LHalvey MRuthven IJoho HMurdock VQvarfordt P(2019)Variations in Assessor Agreement in Due DiligenceProceedings of the 2019 Conference on Human Information Interaction and Retrieval10.1145/3295750.3298945(243-247)Online publication date: 8-Mar-2019
https://dl.acm.org/doi/10.1145/3295750.3298945
Roegiest AHudek AMcNulty ACollins-Thompson KMei QDavison BLiu YYilmaz E(2018)A Dataset and an Examination of Identifying Passages for Due DiligenceThe 41st International ACM SIGIR Conference on Research & Development in Information Retrieval10.1145/3209978.3210015(465-474)Online publication date: 27-Jun-2018
https://dl.acm.org/doi/10.1145/3209978.3210015

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