LexGuard
RegTech pipeline: PDF contracts → NLP keyword density → risk logic → dashboard for first-pass review.
Problem
Legal and compliance teams drown in contracts. Manual first-pass review is slow and inconsistent; risk clauses and obligations are easy to miss. Mid-market and SMBs often lack the budget for enterprise CLM, but still need a repeatable way to surface contract risk and key terms.
Solution
LexGuard is a pipeline: ingest PDFs → extract text → run NLP keyword density and a risk logic library (configurable rules) → output a dashboard for review. It doesn’t replace lawyers; it gives them a consistent, auditable first pass so they focus on exceptions and negotiation.
Why it matters
Contract risk is a business risk. A tool that standardises the first pass reduces cycle time and improves coverage—especially for procurement, real estate, and compliance teams handling volume. Clear “risk score” and keyword views support prioritisation and audit trails.
Tech choices
- Python — Rich NLP/ML ecosystem (e.g. keyword extraction, optional NER); fast to prototype and extend with new risk rules.
- Streamlit — Rapid RegTech dashboards: upload, run pipeline, view results without building a custom front-end; good for internal and demo use.
- Risk logic library — Rule-based layer (e.g. clause patterns, thresholds) that can be tuned without retraining models; audit-friendly.
- Docker — Single image for ingest + NLP + app; repeatable deploys (e.g. Railway) and easy local runs.