Editorial Methodology

LitNews.ai is built around a source-first editorial model. We try to anchor coverage in public records, court documents, opinions, filings, agency materials, transcripts, and other primary sources whenever available.

How stories are selected

Story selection is driven by a combination of source ingestion, classification systems, editorial rules, significance thresholds, and ongoing tuning. Not every filing, ruling, or argument is covered. We prioritize items that appear likely to matter to legal readers, including notable court decisions, substantial complaints, important motion practice, agency actions, oral arguments, and litigation developments involving significant parties, courts, judges, industries, or practice areas.

Automation and human review

LitNews.ai uses automated systems for ingestion, metadata extraction, ranking, categorization, summarization, and drafting. Human review may be used selectively, but not every page is individually reviewed before publication. Because of that, some pages may contain mistakes, omissions, stale metadata, overinclusive tags, or imperfect summaries.

Primary sources control

The underlying source documents control over any LitNews.ai summary, lede, headline, tag, byline, metadata field, or classification. Readers should consult the source materials directly before relying on any article or research page for legal, business, editorial, or investment decisions.

Corrections and updates

LitNews.ai may update article pages, metadata, classifications, linked documents, and other content as source records change, better information becomes available, or errors are identified. Article timestamps may not reflect every subsequent metadata correction or quiet revision.

Independence and sponsorship

Editorial content should not be understood as sponsored unless expressly labeled as such. If LitNews.ai publishes sponsored, paid, or promotional material, that material should be clearly identified.

Transparency signals

LitNews.ai aims to provide clear publication dates, staff attribution, source links where available, and publication-level transparency pages such as this one, the About page, and the Terms of Use.