activity
20212026
most citedNonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation

10 citations · 40 across the 22 of their papers we have counts for

collaborators

24 papers

cs.AI2026

PROSLEX: A Novel Dataset for Expert-Annotated Legal Statute Prediction for Indian Judiciary

Subinay Adhikary, Upal Bhattacharya, Vivek Kumar Singh +6

Legal Statute Prediction (LSP) involves automatically identifying relevant legal statutes given factual descriptions in legal documents, typically framed as a multi-label classific…

cs.CL2026

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System

Shubham Kumar Nigam, Shubham Kumar Mishra, Noel Shallum +2

This comprehensive study introduces an advanced Artificial Intelligence for Indian Legal Question Answering (AILQA) system tailored to the Indian legal context. AILQA leverages a v…

cs.CL2026

IndicMedDialog: A Parallel Multi-Turn Medical Dialogue Dataset for Accessible Healthcare in Indic Languages

Shubham Kumar Nigam, Suparnojit Sarkar, Piyush Patel

Most existing medical dialogue systems operate in a single-turn question--answering paradigm or rely on template-based datasets, limiting conversational realism and multilingual ap…

cs.AI2026

How English Print Media Frames Human-Elephant Conflicts in India

Bonala Sai Punith, Salveru Jayati, Garima Shakya +1

Human-elephant conflict (HEC) is rising across India as habitat loss and expanding human settlements force elephants into closer contact with people. While the ecological drivers o…

cs.CL2026

NyayaMind- A Framework for Transparent Legal Reasoning and Judgment Prediction in the Indian Legal System

Parjanya Aditya Shukla, Shubham Kumar Nigam, Debtanu Datta +5

Court Judgment Prediction and Explanation (CJPE) aims to predict a judicial decision and provide a legally grounded explanation for a given case based on the facts, legal issues, a…

cs.CL2026

MedAidDialog: A Multilingual Multi-Turn Medical Dialogue Dataset for Accessible Healthcare

Shubham Kumar Nigam, Suparnojit Sarkar, Piyush Patel

Conversational artificial intelligence has the potential to assist users in preliminary medical consultations, particularly in settings where access to healthcare professionals is…

cs.CL2025

ReGal: A First Look at PPO-based Legal AI for Judgment Prediction and Summarization in India

Shubham Kumar Nigam, Tanuj Tyagi, Siddharth Shukla +6

This paper presents an early exploration of reinforcement learning methodologies for legal AI in the Indian context. We introduce Reinforcement Learning-based Legal Reasoning (ReGa…

cs.CV2025★ 1 cited

Seeing Justice Clearly: Handwritten Legal Document Translation with OCR and Vision-Language Models

Shubham Kumar Nigam, Parjanya Aditya Shukla, Noel Shallum +1

Handwritten text recognition (HTR) and machine translation continue to pose significant challenges, particularly for low-resource languages like Marathi, which lack large digitized…

cs.CL2025

IBPS: Indian Bail Prediction System

Puspesh Kumar Srivastava, Uddeshya Raj, Praveen Patel +3

Bail decisions are among the most frequently adjudicated matters in Indian courts, yet they remain plagued by subjectivity, delays, and inconsistencies. With over 75% of India's pr…

cs.CL2025★ 1 cited

NyayaRAG: Realistic Legal Judgment Prediction with RAG under the Indian Common Law System

Shubham Kumar Nigam, Balaramamahanthi Deepak Patnaik, Shivam Mishra +4

Legal Judgment Prediction (LJP) has emerged as a key area in AI for law, aiming to automate judicial outcome forecasting and enhance interpretability in legal reasoning. While prev…

cs.CL2025

Segment First, Retrieve Better: Realistic Legal Search via Rhetorical Role-Based Queries

Shubham Kumar Nigam, Tanmay Dubey, Noel Shallum +1

Legal precedent retrieval is a cornerstone of the common law system, governed by the principle of stare decisis, which demands consistency in judicial decisions. However, the growi…

cs.CL2025

TathyaNyaya and FactLegalLlama: Advancing Factual Judgment Prediction and Explanation in the Indian Legal Context

Shubham Kumar Nigam, Balaramamahanthi Deepak Patnaik, Shivam Mishra +3

In the landscape of Fact-based Judgment Prediction and Explanation (FJPE), reliance on factual data is essential for developing robust and realistic AI-driven decision-making tools…

cs.CL2025

Structured Legal Document Generation in India: A Model-Agnostic Wrapper Approach with VidhikDastaavej

Shubham Kumar Nigam, Balaramamahanthi Deepak Patnaik, Noel Shallum +2

Automating legal document drafting can improve efficiency and reduce the burden of manual legal work. Yet, the structured generation of private legal documents remains underexplore…

cs.CL2025

LegalSeg: Unlocking the Structure of Indian Legal Judgments Through Rhetorical Role Classification

Shubham Kumar Nigam, Tanmay Dubey, Govind Sharma +3

In this paper, we address the task of semantic segmentation of legal documents through rhetorical role classification, with a focus on Indian legal judgments. We introduce LegalSeg…

cs.CL2024★ 1 cited

NyayaAnumana & INLegalLlama: The Largest Indian Legal Judgment Prediction Dataset and Specialized Language Model for Enhanced Decision Analysis

Shubham Kumar Nigam, Balaramamahanthi Deepak Patnaik, Shivam Mishra +3

The integration of artificial intelligence (AI) in legal judgment prediction (LJP) has the potential to transform the legal landscape, particularly in jurisdictions like India, whe…

cs.CL2024

Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Models

Shubham Kumar Nigam, Aniket Deroy, Subhankar Maity +1

This study investigates judgment prediction in a realistic scenario within the context of Indian judgments, utilizing a range of transformer-based models, including InLegalBERT, BE…

cs.CL2024★ 3 cited

Legal Judgment Reimagined: PredEx and the Rise of Intelligent AI Interpretation in Indian Courts

Shubham Kumar Nigam, Anurag Sharma, Danush Khanna +3

In the era of Large Language Models (LLMs), predicting judicial outcomes poses significant challenges due to the complexity of legal proceedings and the scarcity of expert-annotate…

cs.CL2023★ 9 cited

Fact-based Court Judgment Prediction

Shubham Kumar Nigam, Aniket Deroy

This extended abstract extends the research presented in "ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation" \cite{malik-etal-2021-ildc}, f…

cs.CL2023★ 10 cited

Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation

Shubham Kumar Nigam, Aniket Deroy, Noel Shallum +6

This paper describes our submission to the SemEval-2023 for Task 6 on LegalEval: Understanding Legal Texts. Our submission concentrated on three subtasks: Legal Named Entity Recogn…

cs.CL2023★ 5 cited

Legal Question-Answering in the Indian Context: Efficacy, Challenges, and Potential of Modern AI Models

Shubham Kumar Nigam, Shubham Kumar Mishra, Ayush Kumar Mishra +2

Legal QA platforms bear the promise to metamorphose the manner in which legal experts engage with jurisprudential documents. In this exposition, we embark on a comparative explorat…

cs.CL2022★ 1 cited

nigam@COLIEE-22: Legal Case Retrieval and Entailment using Cascading of Lexical and Semantic-based models

Shubham Kumar Nigam, Navansh Goel

This paper describes our submission to the Competition on Legal Information Extraction/Entailment 2022 (COLIEE-2022) workshop on case law competition for tasks 1 and 2. Task 1 is a…

cs.CL2022★ 5 cited

Plumeria at SemEval-2022 Task 6: Robust Approaches for Sarcasm Detection for English and Arabic Using Transformers and Data Augmentation

Shubham Kumar Nigam, Mosab Shaheen

This paper describes our submission to SemEval-2022 Task 6 on sarcasm detection and its five subtasks for English and Arabic. Sarcasm conveys a meaning which contradicts the litera…

cs.CL2021★ 4 cited

Semantic Segmentation of Legal Documents via Rhetorical Roles

Vijit Malik, Rishabh Sanjay, Shouvik Kumar Guha +4

Legal documents are unstructured, use legal jargon, and have considerable length, making them difficult to process automatically via conventional text processing techniques. A lega…

cs.CL2021

ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation

Vijit Malik, Rishabh Sanjay, Shubham Kumar Nigam +4

An automated system that could assist a judge in predicting the outcome of a case would help expedite the judicial process. For such a system to be practically useful, predictions…