ALDA: Automated Legal Document Analytics

June 1, 2014 - June 1, 2023

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.

automatic sla monitoring, cloud computing, sla, text mining

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Principal Faculty

  1. Karuna Pande Joshi

Affiliated Faculty

  1. Tim Finin
  2. Anupam Joshi

Alumni

  1. Aditi Gupta

Ph.D. Candidate

  1. Dae-young Leroy Kim

Publications

2022

  1. D. L. Kim, N. Alodadi, Z. Chen, K. P. Joshi, A. Crainiceanu, and D. Needham, "MATS: A Multi-aspect and Adaptive Trust-based Situation-aware Access Control Framework for Federated Data-as-a-Service Systems", InProceedings, IEEE International Services Computing Conference (SCC) 2022 in IEEE World Congress on Services 2022, July 2022, 100 downloads.
  2. D. N. Ganapathy and K. P. Joshi, "A Semantically Rich Framework to Automate Cloud Service Level Agreements", Article, IEEE Transactions on Services Computing, January 2022, 157 downloads.

2021

  1. D. L. Kim, L. Elluri, and K. P. Joshi, "Trusted Compliance Enforcement Framework for Sharing Health Big Data", InProceedings, IEEE BigData 2021 4th Special Session on HealthCare Data, December 2021, 157 downloads.
  2. K. Sane, K. P. Joshi, and S. Mittal, "Semantically Rich Framework to Automate Cyber Insurance Services", Article, IEEE Transactions on Services Computing, November 2021, 232 downloads.
  3. A. Kotal, A. Joshi, and K. P. Joshi, "The Effect of Text Ambiguity on creating Policy Knowledge Graphs", InProceedings, IEEE International Conference on Big Data and Cloud Computing (BDCloud 2021), September 2021, 320 downloads.
  4. R. Razavisousan and K. P. Joshi, "Analyzing GDPR compliance in Cloud Services' privacy policies using Textual Fuzzy Interpretive Structural Modeling (TFISM)", InProceedings, IEEE International Services Computing Conference (SCC) 2021 in IEEE World Congress on Services 2021, September 2021, 211 downloads.
  5. A. Nagar, L. Elluri, and K. P. Joshi, "Automated Compliance of Mobile Wallet Payments for Cloud Services", InProceedings, 7th IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2021), May 2021, 252 downloads.
  6. D. L. Kim and K. P. Joshi, "A Semantically Rich Knowledge Graph to Automate HIPAA Regulations for Cloud Health IT Services", 7th IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2021), May 2021, 293 downloads.

2020

  1. L. Elluri, K. P. Joshi, and A. Kotal, "Measuring Semantic Similarity across EU GDPR Regulation and Cloud Privacy Policies", InProceedings, 7th International Workshop on Privacy and Security of Big Data (PSBD 2020), in conjunction with 2020 IEEE International Conference on Big Data (IEEE BigData 2020), December 2020, 340 downloads.
  2. K. P. Joshi and S. Saha, "A Semantically Rich Framework for Knowledge Representation of Code of Federal Regulations (CFR)", Article, Digital Government: Research and Practice, December 2020, 221 downloads.
  3. A. Kotal, K. P. Joshi, and A. Joshi, "ViCLOUD: Measuring Vagueness in Cloud Service Privacy Policies and Terms of Services", InProceedings, IEEE International Conference on Cloud Computing (CLOUD), 2020, October 2020, 373 downloads.

2019

  1. K. Sane, K. P. Joshi, and S. Mittal, "A Semantic Approach for Automating Knowledge in Policies of Cyber Insurance Services", InProceedings, IEEE International Conference on Web Services (IEEE ICWS) 2019, July 2019, 876 downloads.
  2. K. P. Joshi and A. Banerjee, "Automating Privacy Compliance Using Policy Integrated Blockchain", Article, Cryptography, Special Issue Advances of Blockchain Technology and Its Applications, February 2019, 767 downloads.

2018

  1. L. Elluri and K. P. Joshi, "A Knowledge Representation of Cloud Data controls for EU GDPR Compliance", InProceedings, 11th IEEE International Conference on Cloud Computing (CLOUD), July 2018, 930 downloads.
  2. A. Nagar and K. P. Joshi, "A Semantically Rich Knowledge Representation of PCI DSS for Cloud Services", InProceedings, 6th International IBM Cloud Academy Conference ICACON 2018, Japan, May 2018, 1103 downloads.

2017

  1. S. Saha, K. P. Joshi, R. Frank, M. Aebig, and J. Lin, "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, 1215 downloads.
  2. S. Saha and K. P. Joshi, "Cognitive Assistance for Automating the Analysis of the Federal Acquisition Regulations System", InProceedings, AAAI Fall Symposium 2017, November 2017, 631 downloads.
  3. S. Saha, K. P. Joshi, and A. Gupta, "A Deep Learning Approach to Understanding Cloud Service Level Agreements ", InProceedings, Fifth International IBM Cloud Academy Conference, May 2017, 1142 downloads.

2016

  1. K. P. Joshi, A. Gupta, S. Mittal, C. Pearce, A. Joshi, and T. Finin, "Semantic Approach to Automating Management of Big Data Privacy Policies", InProceedings, IEEE BigData 2016, December 2016, 1837 downloads.
  2. K. P. Joshi, A. Gupta, S. Mittal, C. Pearce, A. Joshi, and T. Finin, "ALDA : Cognitive Assistant for Legal Document Analytics", InProceedings, AAAI Fall Symposium 2016, September 2016, 1083 downloads.
  3. A. Gupta, S. Mittal, K. P. Joshi, C. Pearce, and A. Joshi, "Streamlining Management of Multiple Cloud Services", InProceedings, IEEE International Conference on Cloud Computing, June 2016, 1440 downloads.
  4. S. Mittal, K. P. Joshi, C. Pearce, and A. Joshi, "Automatic Extraction of Metrics from SLAs for Cloud Service Management", InProceedings, 2016 IEEE International Conference on Cloud Engineering (IC2E 2016), April 2016, 1411 downloads.

2015

  1. S. Mittal, K. P. Joshi, C. Pearce, and A. Joshi, "Parallelizing Natural Language Techniques for Knowledge Extraction from Cloud Service Level Agreements", InProceedings, 2015 IEEE International Conference on Big Data, October 2015, 1341 downloads.
  2. K. P. Joshi and C. Pearce, "Automating Cloud Service Level Agreements using Semantic Technologies", InProceedings, CLaw Workshop, IEEE International Conference on Cloud Engineering (IC2E), March 2015, 1368 downloads.

2014

  1. K. P. Joshi, Y. Yesha, and T. Finin, "Automating Cloud Services Lifecycle through Semantic technologies", Article, IEEE Transactions on Service Computing, January 2014, 2129 downloads.

Assertions

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