Project deliverable Open Access

Lynx D5.7 Demonstrator for pilot 3

Boil, Pascual; Gómez, Elsa; Calleja, Pablo


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    <subfield code="a">Building the Legal Knowledge Graph for Smart Compliance Services in Multilingual Europe</subfield>
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    <subfield code="a">&lt;p&gt;This deliverable summarizes the final results of the Lynx use case developed for&amp;nbsp;labour&amp;nbsp;law and&amp;nbsp;explains&amp;nbsp;all relevant parts&amp;nbsp;of the pilot&amp;nbsp;and activities done&amp;nbsp;around&amp;nbsp;it (business use case into the Lynx project).&amp;nbsp;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;Section 1&amp;nbsp;introduces&amp;nbsp;some of the difficulties that lawyers or legal experts encounter when working with legal documents from different jurisdictions in multiple languages. In this use case, we aim to demonstrate how semantic technologies and the use of knowledge graphs can contribute to assist lawyers (and non-lawyers) in accessing and processing international legislation. How to apply these technologies and how to simplify the interaction of users&amp;nbsp;with&amp;nbsp;legal data by providing an easy-to-use interface, are some of the challenging aspects that we face in this pilot.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;Section 2 describes our use case in more detail, focusing on the main objectives of a law firm like Cuatrecasas, and how the solution built in Lynx can help its clients and prospects. We explain our envisioned solution by providing detailed information of the functional requirements derived from several functional meetings. At this point,&amp;nbsp;a level-of-implementation gap analysis is also included to detail and explain what you can find finally implemented in this last deliverable.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;As part of this final demonstrator,&amp;nbsp;in Section 3&amp;nbsp;we show the core of the solution, also known as the Minimum Viable Product (MVP).&amp;nbsp;Here we explain scope&amp;nbsp;redefinitions&amp;nbsp;and design changes&amp;nbsp;that differ&amp;nbsp;from the&amp;nbsp;initial&amp;nbsp;idea.&amp;nbsp;In this section we want to highlight those parts of the&amp;nbsp;project which&amp;nbsp;have been fundamental within the pilot,&amp;nbsp;even if not all of them have&amp;nbsp;finally materialized in&amp;nbsp;the final solution. To better illustrate the resultant application, and how it works,&amp;nbsp;we have included&amp;nbsp;a&amp;nbsp;Tour Guide through&amp;nbsp;the Beta&amp;nbsp;version of this implemented MVP with commented screenshots, introducing the main functionalities.&amp;nbsp;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;In Section 4, we explain the different components of the Application Architecture (functional but also giving some technical details). This includes a description of the core architecture and main components and how&amp;nbsp;they&amp;nbsp;interact with the Lynx platform and the Lynx services as &amp;ldquo;building blocks&amp;rdquo;.&amp;nbsp;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;To conclude, Section 5 explains relevant activities and experiments, intermediate lines of work, that&amp;nbsp;have&amp;nbsp;also been important for the&amp;nbsp;project.&amp;nbsp;Additionally, outlook&amp;nbsp;and next steps are described.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;The report is supplemented with&amp;nbsp;four&amp;nbsp;annexes, which provide additional information and context:&amp;nbsp;&amp;nbsp;&lt;/p&gt;

&lt;ol&gt;
	&lt;li&gt;&amp;ldquo;Sample of real questionnaires&amp;rdquo;, based on previous real international&amp;nbsp;operations by&amp;nbsp;the company&amp;nbsp;&lt;/li&gt;
	&lt;li&gt;
	&lt;p&gt;&amp;ldquo;Legal Knowledge Graph in the&amp;nbsp;labour&amp;nbsp;use case&amp;rdquo;, putting our use case in the context of the global LKG&amp;nbsp;&lt;/p&gt;
	&lt;/li&gt;
	&lt;li&gt;
	&lt;p&gt;&amp;ldquo;Chatbots, QA and Semantic Search working together&amp;rdquo;, an analysis of these different technologies and how and why to combine them.&amp;nbsp;&amp;nbsp;&lt;/p&gt;
	&lt;/li&gt;
	&lt;li&gt;
	&lt;p&gt;&amp;ldquo;User validation and feedback&amp;rdquo;, as an example of the work done on results and accuracy testing and training services&amp;nbsp;&lt;/p&gt;
	&lt;/li&gt;
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