Case Study · Energy Consulting & Regulatory Strategy

How MaxETA Energy cut case-specific research from hours to minutes

MaxETA Energy advises on complex energy regulatory proceedings where a single rate case can generate tens of thousands of pages of filings, orders, and testimony. With Chat.co Energy Expert Agents, their analysts now get cited answers in minutes.

MaxETA Energy and Chat.co illustration
Case-specific research that used to take our analysts hours now takes minutes — and every answer comes with the record citation to back it up.
MaxETA Energy

The challenge

Regulatory work runs on precedent. Before answering a client question or drafting a position, MaxETA analysts had to locate the relevant language across years of docket filings, commission orders, technical testimony, and hearing transcripts — spread across thousands of documents.

That research was measured in hours per question. And because the stakes are regulatory, every answer had to be traceable back to the exact source document — a requirement generic AI tools could not meet.

The solution

MaxETA deployed Energy Expert Agents on Chat.co: dedicated AI agents, each trained on the complete document record of a specific docket or regulatory domain.

Analysts ask questions in plain language and get back answers grounded in the actual filings — with citations to the specific source documents, so every claim can be verified and carried straight into work product.

  • Dedicated expert agent per docket / regulatory domain
  • Trained on filings, orders, testimony, and transcripts
  • Every answer cited to the underlying source document
  • Secure, access-controlled deployment for the consulting team

The results

Hours to minutes

Case-specific research that used to take hours of manual document review now takes minutes.

Citations built in

Answers arrive with source citations analysts can verify and use directly in regulatory work product.

Institutional knowledge, preserved

Docket expertise no longer lives only in senior analysts’ heads — it is queryable by the whole team.

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