Exploration of Methods and Models to Achieve Multi-Document Comprehension in the Legal Domain

The project attempts to tackle an important challenge in Artificial Intelligence (AI), to give a machine an ability to comprehend multiple documents like humans do. These can do the redundant or preliminary reading-based research performed in many domains. The project aims to create a system which can read, understand, and answer queries and/or summarize multiple legal documents in a single shot. The project aligns with ROSS’s roadmap and vision – to supplement and enhance the quality and capacity of research tools, available at an average lawyer’s disposal and boost the time spent with their clients. Such a powerful system requires the capacity to understand queries made in natural language such as English. Hence the system will be developed using applicable novel state-of-the-art AI based Natural Language Processing (NLP) techniques. TO BE CONT’D

Faculty Supervisor:

Frank Rudzicz


Manasa Bharadwaj


ROSS Intelligence Inc


Computer science


Information and communications technologies




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