Aalap: AI Assistant for Legal & Paralegal Functions in India
Not on the map. Why?
Abstract (arXiv)
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. We created Aalalp, a fine-tuned Mistral 7B model on instructions data related to specific Indian legal tasks. The performance of Aalap is better than gpt-3.5-turbo in 31% of our test data and obtains an equivalent score in 34% of the test data as evaluated by GPT4. Training Aalap mainly focuses on teaching legal reasoning rather than legal recall. Aalap is definitely helpful for the day-to-day activities of lawyers, judges, or anyone working in legal systems.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 23 of its 30 references that are in the map. First posted on arXiv 30 Jan 2024.
Builds on
23 of 30 references.
References · 23
- 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,084
- 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
- 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,393
- 2021Prefix-Tuning: Optimizing Continuous Prompts for Generationcited by 3,878
- 2023QLoRA: Efficient Finetuning of Quantized LLMscited by 3,355
- 2022Training Compute-Optimal Large Language Modelscited by 2,927
- 2023FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioningcited by 2,551
- 2019Generating Long Sequences with Sparse Transformerscited by 1,523
- 2023GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpointscited by 1,311
- 2023BloombergGPT: A Large Language Model for Financecited by 923
- 2021Cross-Task Generalization via Natural Language Crowdsourcing Instructionscited by 696
- 2023Towards Expert-Level Medical Question Answering with Large Language Modelscited by 382
11 more
- 2023Orca: Progressive Learning from Complex Explanation Traces of GPT-4cited by 369
- 2023LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Modelscited by 328
- 2023Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Surveycited by 134
- 2023Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecturecited by 119
- 2023LawBench: Benchmarking Legal Knowledge of Large Language Modelscited by 111
- 2022Legal Prompt Engineering for Multilingual Legal Judgement Predictioncited by 54
- 2023Adapting Large Language Models to Domains via Reading Comprehensioncited by 48
- 2022Two-stage LLM Fine-tuning with Less Specialization and More Generalizationcited by 39
- 2023ChatGPT may Pass the Bar Exam soon, but has a Long Way to Go for the LexGLUE benchmarkcited by 33
- 2022Named Entity Recognition in Indian court judgmentscited by 26
- 2022Corpus for Automatic Structuring of Legal Documentscited by 25
Built on by
Citing papers per year: 2024: 1; 2025: 1; 2026: 2.
4 papers.
- 2024NyayaAnumana & INLegalLlama: The Largest Indian Legal Judgment Prediction Dataset and Specialized Language Model for Enhanced Decision Analysiscited by 4
- 2025Lightweight Domain Adaptation of a Large Language Model for Legal Assistance in the Indian Contextcited by 1
- 2026LexChronos: An Agentic Framework for Structured Event Timeline Extraction in Indian Jurisprudencecited by 1
- 2026AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal Systemcited by 0
- 2026AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System21 Jul 2026
- 2026LexChronos: An Agentic Framework for Structured Event Timeline Extraction in Indian Jurisprudence2 Mar 2026
- 2025Lightweight Domain Adaptation of a Large Language Model for Legal Assistance in the Indian Context28 May 2025
- 2024NyayaAnumana & INLegalLlama: The Largest Indian Legal Judgment Prediction Dataset and Specialized Language Model for Enhanced Decision Analysis11 Dec 2024