178
Views
0
CrossRef citations to date
0
Altmetric
Articles

Bridging the Gap between Clients and Public Defenders: Introducing a Structured Shadow Method to Examine Attorney Communication

&
Pages 26-52
Published online: 09 Dec 2021
 

Abstract

A growing body of scholarship argues that representing clients in an effective and quality manner should be a critical goal for public defenders, emphasizing the need to be client-centered. Beyond this call, recent research emphasizes that client-centered approaches hinge on good communication as it can contribute to a more effective attorney–client relationship. However, to identify and improve communication and client-centered relationships, major obstacles must be overcome which involve conceptualizing and operationalizing quality representation and communication. In this article, we introduce a two-phase, structured shadowing method as a way to overcome these obstacles. Phase I consists of a survey of public defenders that captures attorneys’ perspectives of factors important in developing and maintaining good communication with clients. The second phase involves an exploratory method of shadowing attorneys in meetings with their clients, and administering a survey of clients to assess the importance of these factors from their vantagepoint and their overall perception of communication with their attorney. Additionally, we demonstrate how this method can be deployed to aid in understanding and improving attorney–client communication from both the attorneys’ and clients’ perspectives. We conclude the article with a discussion of how this method can help to progress research and practice related to quality representation, and as appendices we provide the tools used to demonstrate the approach.

Acknowledgments

The authors would like to thank Megan Mohler, Leah Reddy, and Kayla LaBranche for their help in this project and to Professor Janet Moore and Dr. Marla Sandys for their valuable feedback during this process.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.
 

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.