<?xml version="1.0" encoding="UTF-8"?>
<TEI xml:space="preserve" xmlns="http://www.tei-c.org/ns/1.0" 
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" 
xsi:schemaLocation="http://www.tei-c.org/ns/1.0 https://raw.githubusercontent.com/kermitt2/grobid/master/grobid-home/schemas/xsd/Grobid.xsd"
 xmlns:xlink="http://www.w3.org/1999/xlink">
	<teiHeader xml:lang="en">
		<fileDesc>
			<titleStmt>
				<title level="a" type="main">Democratizing AI for Legal Professionals: Creating Cognitive AI Legal Assistants with No Coding</title>
			</titleStmt>
			<publicationStmt>
				<publisher/>
				<availability status="unknown"><licence/></availability>
			</publicationStmt>
			<sourceDesc>
				<biblStruct>
					<analytic>
						<author role="corresp">
							<persName><forename type="first">Michelle</forename><surname>Zhou</surname></persName>
							<email>michelle.xue.zhou@gmail.com</email>
							<affiliation key="aff0">
								<orgName type="institution">Juji Inc</orgName>
								<address>
									<addrLine>3165 Olin Avenue</addrLine>
									<postCode>95117</postCode>
									<settlement>San Jose</settlement>
									<region>CA</region>
									<country key="US">USA</country>
								</address>
							</affiliation>
							<affiliation key="aff1">
								<orgName type="department">Intelligent Systems and Technology (TIST)</orgName>
								<orgName type="laboratory">ACM Transactions on</orgName>
							</affiliation>
						</author>
						<title level="a" type="main">Democratizing AI for Legal Professionals: Creating Cognitive AI Legal Assistants with No Coding</title>
					</analytic>
					<monogr>
						<imprint>
							<date/>
						</imprint>
					</monogr>
					<idno type="MD5">0CC6ACCA1588B9376381B7C3B50AB22D</idno>
				</biblStruct>
			</sourceDesc>
		</fileDesc>
		<encodingDesc>
			<appInfo>
				<application version="0.7.2" ident="GROBID" when="2023-03-24T16:29+0000">
					<desc>GROBID - A machine learning software for extracting information from scholarly documents</desc>
					<ref target="https://github.com/kermitt2/grobid"/>
				</application>
			</appInfo>
		</encodingDesc>
		<profileDesc>
			<abstract>
<div xmlns="http://www.tei-c.org/ns/1.0"><p>With the rapid advances of AI technologies and their applications, it is inevitable AI would play a big role in legal practices. While legal professionals wish to enlist AI's help, not everyone has the required skills or resources to create their own AI solutions. In this talk, Michelle will use the development of Cognitive AI Assistants as an example to describe the challenges, highlight the state-of-the-art advances, and practical use cases that Cognitive AI Assistants could aid legal professionals. Moreover, Michelle will highlight how legal professionals can set up, customize, launch, and manage their own custom Cognitive AI Assistant with no coding or no technical skills required, a step toward democratizing AI for legal professionals. Michelle Zhou is a co-founder and CEO of Juji, Inc., an Artificial Intelligence (AI) company that specializes in developing Cognitive AI Assistants in the form of chatbots. She is an expert in the field of Human-Centered AI, an interdisciplinary area that intersects AI and Human-Computer Interaction (HCI). Zhou has authored more than 100 scientific publications and 45 patent applications on subjects including conversational AI, personality analytics, and interactive visual analytics of big data. Prior to founding Juji, she spent 15 years at IBM Research and the IBM Watson Group, where she managed the research and development of Human-Centered AI technologies and solutions, including IBM Watson Personality Insights. Zhou serves as Editor-in-Chief of ACM Transactions on Interactive Intelligent Systems (TiiS)</p></div>
			</abstract>
		</profileDesc>
	</teiHeader>
	<text xml:lang="en">
		<body/>
		<back>
			<div type="references">

				<listBibl/>
			</div>
		</back>
	</text>
</TEI>
