Sol Irvine

Augustus

AI-powered contract analytics for enterprise legal teams

Augustus started as a question: what would it take to turn a company's static legal documents into a living, queryable knowledge base? The answer turned out to involve deep PDF extraction, custom NLP pipelines, and a healthy respect for the messiness of real-world contracts.

Challenges

Placeholder — describe the core technical and product challenges encountered during development. Cover topics like PDF fidelity, schema design for heterogeneous contract types, grounding LLM outputs in source text, and building trust with legal professionals who are rightfully skeptical of AI-generated analysis.

Lessons Learned

Placeholder — reflect on what the project taught about building products at the intersection of law and technology. Lessons about user research with domain experts, the importance of explainability, and why "good enough" extraction is never good enough when lawyers are the end users.

Delightful Discoveries

Placeholder — share the unexpectedly rewarding moments. Perhaps a particular visualization that made contract timelines click, a feature that users loved that wasn't in the original spec, or an elegant solution to a gnarly data problem that felt like finding a secret passage.

Status

Placeholder — describe where the project stands today. Currently in private beta with select enterprise customers. Outline the roadmap and what comes next.