Aalap: AI Assistant for Legal & Paralegal Functions in India

no code implementations • 30 Jan 2024 • Aman Tiwari, Prathamesh Kalamkar, Atreyo Banerjee, Saurabh Karn, Varun Hemachandran, Smita Gupta

Using proprietary Large Language Models on legal tasks poses challenges due to data privacy issues, domain data heterogeneity, domain knowledge sophistication, and domain objectives uniqueness.

Legal Reasoning

SemEval 2023 Task 6: LegalEval - Understanding Legal Texts

no code implementations • 19 Apr 2023 • Ashutosh Modi, Prathamesh Kalamkar, Saurabh Karn, Aman Tiwari, Abhinav Joshi, Sai Kiran Tanikella, Shouvik Kumar Guha, Sachin Malhan, Vivek Raghavan

LegalEval task has three sub-tasks: Task-A (Rhetorical Roles Labeling) is about automatically structuring legal documents into semantically coherent units, Task-B (Legal Named Entity Recognition) deals with identifying relevant entities in a legal document and Task-C (Court Judgement Prediction with Explanation) explores the possibility of automatically predicting the outcome of a legal case along with providing an explanation for the prediction.

named-entity-recognition Named Entity Recognition

Named Entity Recognition in Indian court judgments

1 code implementation • 7 Nov 2022 • Prathamesh Kalamkar, Astha Agarwal, Aman Tiwari, Smita Gupta, Saurabh Karn, Vivek Raghavan

Identification of named entities from legal texts is an essential building block for developing other legal Artificial Intelligence applications.

named-entity-recognition Named Entity Recognition +1

Corpus for Automatic Structuring of Legal Documents

no code implementations • LREC 2022 • Prathamesh Kalamkar, Aman Tiwari, Astha Agarwal, Saurabh Karn, Smita Gupta, Vivek Raghavan, Ashutosh Modi

In this paper, we introduce a new corpus for structuring legal documents.