UMBC ebiquity

ALDA: Automated Legal Document Analytics

Status: Active project

Project Description:

There has been an exponential growth in use of digitized legal documents in recent years. Majority of services on the Internet have associated legal documents such as Terms of Services, Privacy Policies and Service Level agreements. A large corpus of court cases, judgments and compliance/regulations are now digitally available for e-discovery. Moreover, businesses are maintaining large data sets of legal contracts that they have signed with their employees, customers and contractors. Furthermore, companies have to adhere to a variety of compliance and regulatory policies for many of these contracts, which are also increasingly digitally available. Managing and monitoring an ever increasing dataset of legal contracts, regulations and compliance is still a very manual and labour intensive job and can be a bottleneck in the smooth functioning of the enterprise.

Our research aims at building a Legal Question and Answer (LQnA) system that will be built upon large scale document analytics of legal documents using various techniques from deep learning, machine learning, natural language processing and text mining. We are working to transform legal databases from textual databases to graph-based datasets using Semantic Web technologies. Our long term goal is to develop a system that for any given action or question, can highlight all the statutes, laws and case law that might be applicable on it and offer preliminary guidance to a counsel. As a shorter term vision, we're looking to see if we can automatically extract elements from compliance and regulatory legal documents that govern Information Technology (IT) outsourcing/cloud computing and automatically monitor for compliance.

Start Date: June 2014

End Date: June 2018

Principal Investigator:
Karuna Pande Joshi

Affiliated Faculty:
Tim Finin
Anupam Joshi

Students:
Michael Aebig
Jiayong Lin
Sudip Mittal
Srishty Saha

Alumni:
Aditi Gupta

Collaborators:
Renee Frank
Claudia Pearce

Tags: cloud computing, sla, text mining, automatic sla monitoring

 

There are 10 associated publications:  Hide the list...

10 Refereed Publications

2017

1. Srishty Saha et al., "Automated Knowledge Extraction from the Federal Acquisition Regulations System (FARS)", InProceedings, 2nd International Workshop on Enterprise Big Data Semantic and Analytics Modeling at IEEE International Conference on Big Data 2017 , December 2017, 70 downloads.

2. Srishty Saha et al., "Cognitive Assistance for Automating the Analysis of the Federal Acquisition Regulations System", InProceedings, AAAI Fall Symposium 2017, November 2017, 136 downloads.

3. Srishty Saha et al., "A Deep Learning Approach to Understanding Cloud Service Level Agreements ", InProceedings, Fifth International IBM Cloud Academy Conference, May 2017, 307 downloads.

2016

4. Karuna Pande Joshi et al., "Semantic Approach to Automating Management of Big Data Privacy Policies", InProceedings, IEEE BigData 2016, December 2016, 691 downloads.

5. Karuna Pande Joshi et al., "ALDA : Cognitive Assistant for Legal Document Analytics", InProceedings, AAAI Fall Symposium 2016, September 2016, 415 downloads.

6. Aditi Gupta et al., "Streamlining Management of Multiple Cloud Services", InProceedings, IEEE International Conference on Cloud Computing, June 2016, 492 downloads.

7. Sudip Mittal et al., "Automatic Extraction of Metrics from SLAs for Cloud Service Management", InProceedings, 2016 IEEE International Conference on Cloud Engineering (IC2E 2016), April 2016, 518 downloads.

2015

8. Sudip Mittal et al., "Parallelizing Natural Language Techniques for Knowledge Extraction from Cloud Service Level Agreements", InProceedings, 2015 IEEE International Conference on Big Data, October 2015, 488 downloads.

9. Karuna Pande Joshi et al., "Automating Cloud Service Level Agreements using Semantic Technologies", InProceedings, CLaw Workshop, IEEE International Conference on Cloud Engineering (IC2E), March 2015, 624 downloads.

2014

10. Karuna Pande Joshi et al., "Automating Cloud Services Lifecycle through Semantic technologies", Article, IEEE Transactions on Service Computing, January 2014, 1315 downloads.

 

There is 1 associated resource:  Hide the list...

1. Ontology for Data Privacy Policy, Ontology.

 

Research Areas:
 Cloud computing
 Knowledge Representation and Reasoning
 Machine learning
 Question and Answering (QnA) System
 Security, Trust and Privacy
 Semantic Web
 Web based information systems
 Web services

 

Assertions:

  1. (Project) ALDA: Automated Legal Document Analytics has principal investigator (Person) Karuna Pande Joshi