Generative AI Use Cases

Legal teams spend up to 60% of their time manually reviewing contracts. Corporate legal departments process 20,000–40,000 contracts per year, at $200–$500/hour for experienced attorneys and 1–2 hours per contract. Missed clauses can expose companies to millions in liability. This use case bu

Enterprise support teams drown in thousands of unstructured tickets every day. Manual triage is slow, error-prone, and burns agent time that should be spent solving problems. In this use case, we build an end-to-end LLM pipeline that automatically classifies urgency and category, drafts init

Physicians spend over two hours per day on clinical documentation, and 70% of physician burnout is directly attributed to this documentation burden. Unstructured clinical notes contain critical patient information buried in free text — medications, diagnoses, allergies, lab results — scattered acros

Every quarter, S&P 500 companies hold approximately 2,000 earnings calls — each lasting 60 to 90 minutes. Analysts covering 15 to 30 companies must listen, take notes, extract key metrics, detect sentiment shifts, and produce actionable briefs within hours. Manual note-taking misses 20–30% of key st

Developers spend 60% of their time reading and understanding existing code, not writing new code. Documentation goes stale within weeks. Knowledge walks out the door when engineers leave. This use case builds an LLM-powered pipeline that parses source code using Abstract Syntax Trees, extrac