The situation

State appellate opinions are public but difficult to use at scale: scanned PDFs, inconsistent structure, limited searchable metadata, and no simple way to ask questions across the corpus.

What Bonelli built

• Ingestion and structuring over appellate opinions and legal corpora.
• Model-assisted enrichment for classification, summaries, and retrieval.
• Search, watchlists, alerts, and grounded assistant workflows.
• Judicial analytics where published numbers are computed deterministically, not hallucinated by a model.

The operating discipline

AI derives facts from documents; deterministic systems compute statistics; AI output is labeled. Every model call can be logged with cost and usage controls so the product does not become an open-ended inference bill.

Where else this applies

Any organization with valuable unstructured records can use the same pattern: ingest, enrich, retrieve, label what AI derived, compute what must be exact, and control operating cost.