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Research Paper | Computer Science | Volume 15 Issue 4, April 2026 | Pages: 1549 - 1552 | India
AI-Powered Legal Document Compliance Checker
Abstract: This paper presents an AI-powered Legal Document Compliance Checker that leverages Natural Language Processing (NLP) and the Gemini API to automate the review of legal documents for non-expert users and small organizations. The system identifies compliance gaps, risky clauses, and ambiguous drafting in employment contracts, Non-Disclosure Agreements (NDAs), privacy policies, and vendor agreements. A hybrid architecture combining rule-based compliance checks with Gemini API-based legal analysis is implemented, aligned with Indian legal frameworks including the Indian Contract Act 1872, the Information Technology Act 2000, and the Digital Personal Data Protection Act 2023. The system generates plain-language compliance reports with weighted risk scores, clause-level annotations, and actionable remediation suggestions through a web-based interface built using Django and React. Evaluation results demonstrate effective clause classification, compliance detection, and risk scoring, reducing legal review time from days to minutes.
Keywords: Legal NLP, Compliance Checker, Gemini API, Clause Classification, Risk Scoring, Indian Law, Django
How to Cite?: Rinto Roy, Rinsa Rees, "AI-Powered Legal Document Compliance Checker", Volume 15 Issue 4, April 2026, International Journal of Science and Research (IJSR), Pages: 1549-1552, https://www.ijsr.net/getabstract.php?paperid=SR26424182720, DOI: https://dx.doi.org/10.21275/SR26424182720