AI-Powered Legal Arbitration Research Writer
Budget: ₹5,500 – ₹8,000 INR
We are looking for an experienced research writer with expertise in AI, legal tech, and NLP to help draft a high-quality research paper on an AI-powered online arbitration system. The paper will be targeted for submission to Frontiers in Artificial Intelligence.
Scope of Work:
Literature Review – Conduct an in-depth review of existing AI applications in legal arbitration, case retrieval, and statute recommendation.
Methodology Development – Explain AI-driven legal case retrieval, graph-based case similarity detection, and statute recommendation techniques.
Implementation Details – Discuss NLP techniques (TF-IDF, BM25, SBERT), graph clustering (Louvain Algorithm), and decentralized document storage (IPFS).
Experimental Results – Structure performance metrics, dataset details, and comparative analysis with baseline methods.
Discussion & Conclusion – Analyze legal, ethical, and AI-driven decision-making implications in arbitration.
Formatting & Citations – Ensure proper structure, formatting, and citation compliance with Frontiers in AI guidelines.
Ideal word count :: 7000 words
Scope of Work:
Literature Review – Conduct an in-depth review of existing AI applications in legal arbitration, case retrieval, and statute recommendation.
Methodology Development – Explain AI-driven legal case retrieval, graph-based case similarity detection, and statute recommendation techniques.
Implementation Details – Discuss NLP techniques (TF-IDF, BM25, SBERT), graph clustering (Louvain Algorithm), and decentralized document storage (IPFS).
Experimental Results – Structure performance metrics, dataset details, and comparative analysis with baseline methods.
Discussion & Conclusion – Analyze legal, ethical, and AI-driven decision-making implications in arbitration.
Formatting & Citations – Ensure proper structure, formatting, and citation compliance with Frontiers in AI guidelines.
Ideal word count :: 7000 words