DocumentCode :
3756802
Title :
A Generic Platform to Automate Legal Knowledge Work Process Using Machine Learning
Author :
K.M. Annervaz;Jovin George;Shubhashis Sengupta
fYear :
2015
Firstpage :
396
Lastpage :
401
Abstract :
Management of legal contracts in various business domains such as Real Estate are examples of typical business process outsourcing activity. One of such process is Lease Abstraction, where largely manual inspection and validation of large commercial lease documents made for real estate deals is done by offshore experts and relevant information from the documents is extracted into a structured form. This structured information is further used for aggregate analytics and decision making by large real estate firms. We propose a system based on machine learning techniques to semi automate this process, essentially leading to 50% human effort savings. Our approach weaves together state-of-the-art machine learning techniques like supervised classifier models, sequence modeling techniques and various semi-supervised approaches. We articulate the effectiveness of our solution using the results from the experiments. Our platform is being used in production environment by Accenture Operations and the initial results and user feedback are encouraging.
Keywords :
"Data mining","Training","Law","Manuals","Data models","Support vector machines"
Publisher :
ieee
Conference_Titel :
Machine Learning and Applications (ICMLA), 2015 IEEE 14th International Conference on
Type :
conf
DOI :
10.1109/ICMLA.2015.32
Filename :
7424344
Link To Document :
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