We built a production-grade semantic search engine for a legal-tech firm, using modern NLP and vector search to surface contextually relevant cases, not just keyword matches.
The engine understands legal language, intents, and relationships between documents, helping lawyers and researchers get to the right precedents in a fraction of the time.
Powered by BERT-family sentence embeddings, vector databases, and a Python API layer, the platform analyzes 10K+ legal documents and improves as new data and feedback come in.
Keyword search missed relevant cases when phrasing differed. Lawyers sifted duplicates. No ranking by semantic relevance. The CMS had limited AI support.
BERT-based sentence embeddings via Hugging Face, a vector search layer for fast ANN queries, and a FastAPI microservice with REST endpoints for search and re-ranking.
Web, mobile, AI solutions, UI/UX, WordPress, eCommerce, plugin development, and complex system integrations.
Yes. Solutions tailored to your business processes and stack.
Yes. Native Kotlin/Swift and React Native/Flutter cross-platform builds.
Yes. Security updates, monitoring, backups, and performance care.
Empowering AI-Driven Automation & Transformation. Tell us whether you need a custom web build, an AI model, or a product like Voice AI Copilot.
3672 S 16th Ave, Arizona, 85713
info@atwebtechnologies.com
(480) 743-4017
