AAAI Fall Symposium 2016, Cognitive Assistance in Government and Public Sector Applications

ALDA : Cognitive Assistant for Legal Document Analytics

Karuna Pande Joshi, Aditi Gupta, Sudip Mittal, Claudia Pearce, Anupam Joshi, and Tim Finin

September 18, 2016

In recent times, there has been an exponential growth in the digitization of legal documents such as case records, contracts, terms of services, regulations, privacy documents, and compliance guidelines. Courts have been digitizing their archived cases and also making it available for e-discovery. On the other hand, businesses now maintain large datasets of legal contracts they have signed with their employees, customers, and contractors. Large public sector organizations are often bound by complex legal legislation and statutes. Hence, there is a need for a cognitive assistant to analyze and reason over these legal rules and help people make decisions. Today, the process of monitoring an ever-increasing dataset of legal contracts and ensuring regulations and compliance is still very manual and labor-intensive. This can prove to be a bottleneck in the smooth functioning of an enterprise. Automating these digital workflows is quite hard because the information is available only as text documents and is not represented in a machine-understandable way. With the advancements in cognitive assistance technologies, it is now possible to analyze these digitized legal documents efficiently. In this paper, we discuss ALDA, a legal cognitive assistant to analyze digital legal documents. We also present some of the preliminary results we have obtained by analyzing legal documents using techniques such as the semantic web, text mining, and graph analysis.

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Tags: ai, artificial intelligence, natural language processing, natural language processing, semantic web

Type: InProceedings

Publisher: AAAI

Organization: AAAI

Edition: 2016

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