Arbitrator Intelligence: From Intuition to Data in Arbitrator Appointments

New York Dispute Resolution Lawyer Volume 11 No. 2 (Spring 2018)

Penn State Law Research Paper No. 3-2018

9 Pages Posted: 8 Feb 2018 Last revised: 11 Apr 2018

See all articles by Catherine A. Rogers

Catherine A. Rogers

Pennsylvania State University, Penn State Law; CCLS, Queen Mary University of London

Date Written: January 30, 2018

Abstract

In virtually every sector of modern business, data is enhancing if not replacing intuition as the basis for making decisions. This trend holds even for assessments as seemingly subjective and rarified as predicting the quality—and hence price—of an exquisite French Bordeaux.

In selecting international arbitrators, however, intuition still predominates.

"Expertise" and "efficiency" are identified as the key features parties are looking for in an international arbitrator, but they are not easy to measure or quantify. Expertise and efficiency are not credentials that are listed on arbitrators' CVs, but are instead cumulative, largely intuitive assessments that are drawn from a number of sources and metrics, which may vary from case to case depending on a client's needs. The sources and metrics, meanwhile, are typically collected through ad hoc individual phone calls.

This Essay describes how Arbitrator Intelligence (AI) seeks to solve these problems by bringing data-driven analysis to arbitrator appointments. The means to these ends is the recently launched Arbitrator Intelligence Questionnaire, or AIQ. The AIQ seeks to replicate, through systematically collected feedback, the same kinds of information currently sought through personal-to-person inquiries.

After providing an overview of the content and operation of the AIQ, the Essay then previews the means by which data collected through the AIQs will be made available: AI Reports. It explains how collected data will be analyzed and presented in sample graphs.

The Essay concludes by explaining how Arbitrator Intelligence will liberate arbitrator selection from the 19th Century's telephone and introduce it to the 21st Century's data-driven analytic solutions.

Keywords: international arbitration, arbitrator, artificial intelligence, legal technology

Suggested Citation

Rogers, Catherine A., Arbitrator Intelligence: From Intuition to Data in Arbitrator Appointments (January 30, 2018). New York Dispute Resolution Lawyer Volume 11 No. 2 (Spring 2018); Penn State Law Research Paper No. 3-2018. Available at SSRN: https://ssrn.com/abstract=3113800

Catherine A. Rogers (Contact Author)

Pennsylvania State University, Penn State Law ( email )

Lewis Katz Building
University Park, PA 16802
United States

CCLS, Queen Mary University of London ( email )

Charterhouse Square
London, EC1M 6AX
United Kingdom

Register to save articles to
your library

Register

Paper statistics

Downloads
109
rank
239,760
Abstract Views
455
PlumX Metrics