Cutting legal document review time by 85% with AI-powered extraction and analysis.
A US-based legal services firm was spending an average of 40+ hours per case reviewing contracts, discovery documents, and filings — all manually. Associates were copy-pasting data from PDFs into spreadsheets, missing critical clauses, and creating compliance risks. The firm needed an AI-powered solution to automate extraction, flag risks, and surface key information instantly across thousands of documents.
Built a custom NLP pipeline using Hugging Face Transformers and OpenAI GPT-4 to extract named entities, dates, obligations, parties, and risk clauses from unstructured legal documents with 94% accuracy.
Implemented a Retrieval-Augmented Generation (RAG) system allowing attorneys to query thousands of documents in natural language and receive precise, cited answers in seconds.
Developed an automated risk scoring module that flags non-standard clauses, missing provisions, and compliance gaps — reducing missed risks by 78% compared to manual review.
Built a GDPR and SOC 2-compliant FastAPI backend with role-based access, end-to-end encryption, and full audit trails — meeting the strict security requirements of legal data environments.
LexAI now processes and analyzes thousands of legal documents in minutes rather than weeks. Attorneys use the natural language Q&A interface to surface case-critical information instantly, while the automated risk scoring system acts as a second pair of eyes on every contract. The platform handles 10,000+ documents monthly and has become a core part of the firm's competitive advantage.
What used to take our team 40 hours now takes 4. The AI extraction is remarkably accurate, and the Q&A interface has changed how our associates approach document-heavy cases entirely. Qodeon Labs understood our domain deeply and delivered something we didn't think was technically possible on our timeline.