Responding to community needs: Creating a Chatbot in a Clinical Legal Education setting

Jocelyn Milne; Tania Leiman

Abstract

In 2017, Flinders Legal Advice Clinic collaborated with Cartland Law to use Cartland’s AILIRA [Artificially Intelligent Legal Research Assistant] platform to develop a Chatbot to assist the community in relation to residential fencing disputes. Clinic students worked to create the content necessary for a Fences Chatbot module as part of AILIRA. This included working on AILIRA’s search types, natural language search algorithms and document generation. This presentation will chart the journey from idea to creation in this pilot Chatbot Clinic, explore lessons learned from the process, and how the clinical legal education context could be used to develop other Chatbots.

Original language	English
Publication status	Published - 2018
Event	Monash University Faculty of Law and the International Journal of Clinical Legal Education Conference 2018 - Duration: 28 Nov 2018 → 30 Nov 2018

Conference

Conference	Monash University Faculty of Law and the International Journal of Clinical Legal Education Conference 2018
Period	28/11/18 → 30/11/18

Keywords

Legal Advice Clinic
Chatbots
residential disputes

Access to Document

https://www.monash.edu/law/home/cle/clinical-legal-education-conference/presentations/creating-a-chatbot-in-a-clinic-settingLicence: In Copyright

Cite this

@conference{c1e5bd1e851e46f9ae472c7e15ee300a,

title = "Responding to community needs: Creating a Chatbot in a Clinical Legal Education setting",

abstract = "In 2017, Flinders Legal Advice Clinic collaborated with Cartland Law to use Cartland{\textquoteright}s AILIRA [Artificially Intelligent Legal Research Assistant] platform to develop a Chatbot to assist the community in relation to residential fencing disputes. Clinic students worked to create the content necessary for a Fences Chatbot module as part of AILIRA. This included working on AILIRA{\textquoteright}s search types, natural language search algorithms and document generation. This presentation will chart the journey from idea to creation in this pilot Chatbot Clinic, explore lessons learned from the process, and how the clinical legal education context could be used to develop other Chatbots.",

keywords = "Legal Advice Clinic, Chatbots, residential disputes",

author = "Jocelyn Milne and Tania Leiman",

year = "2018",

language = "English",

note = "Monash University Faculty of Law and the International Journal of Clinical Legal Education Conference 2018 ; Conference date: 28-11-2018 Through 30-11-2018",

}

Milne, J & Leiman, T 2018, 'Responding to community needs: Creating a Chatbot in a Clinical Legal Education setting', Monash University Faculty of Law and the International Journal of Clinical Legal Education Conference 2018, 28/11/18 - 30/11/18. <https://www.monash.edu/law/home/cle/clinical-legal-education-conference/presentations/creating-a-chatbot-in-a-clinic-setting>

TY - CONF

T1 - Responding to community needs

T2 - Monash University Faculty of Law and the International Journal of Clinical Legal Education Conference 2018

AU - Milne, Jocelyn

AU - Leiman, Tania

PY - 2018

Y1 - 2018

N2 - In 2017, Flinders Legal Advice Clinic collaborated with Cartland Law to use Cartland’s AILIRA [Artificially Intelligent Legal Research Assistant] platform to develop a Chatbot to assist the community in relation to residential fencing disputes. Clinic students worked to create the content necessary for a Fences Chatbot module as part of AILIRA. This included working on AILIRA’s search types, natural language search algorithms and document generation. This presentation will chart the journey from idea to creation in this pilot Chatbot Clinic, explore lessons learned from the process, and how the clinical legal education context could be used to develop other Chatbots.

AB - In 2017, Flinders Legal Advice Clinic collaborated with Cartland Law to use Cartland’s AILIRA [Artificially Intelligent Legal Research Assistant] platform to develop a Chatbot to assist the community in relation to residential fencing disputes. Clinic students worked to create the content necessary for a Fences Chatbot module as part of AILIRA. This included working on AILIRA’s search types, natural language search algorithms and document generation. This presentation will chart the journey from idea to creation in this pilot Chatbot Clinic, explore lessons learned from the process, and how the clinical legal education context could be used to develop other Chatbots.

KW - Legal Advice Clinic

KW - Chatbots

KW - residential disputes

M3 - Abstract

Y2 - 28 November 2018 through 30 November 2018