The site is produced by the Law Leaderboard Research & Data Team. That team name refers to the publishing function responsible for data collection, review analysis, page generation, QA, and standards enforcement across the platform.
Automation is used for collection, normalization, NLP classification, structured extraction, summarization from stored facts, and page assembly. Automation is not supposed to invent unsupported legal claims, invent practice strengths, or turn weak source coverage into confident prose.
Where generated narrative appears on the site, the goal is to restate stored facts in readable form. The preferred evidence hierarchy is structured data first, source-backed narrative second, and open-ended generation last.