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Fact Extraction

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Use Claira to extract factual actions and statements about a specific person from documents in Nuix Discover.

Fact Extraction

In investigations, litigation, and regulatory matters, you often need to build a picture of what a specific person did and when. Fact extraction lets you pull those details out of documents without reading each one cover to cover.

Claira scans the extracted text and identifies factual actions or statements attributed to a named individual, then returns them in a concise, dated format.

How Claira helps

  • Focuses on a specific person. Instead of returning everything in a document, Claira filters for facts related to the individual you name.
  • Returns dated entries. Each fact is paired with a date when available, making it easy to build timelines.
  • Sticks to facts. The prompt instructs Claira to avoid speculation, so the output reflects what the document actually says.

When to use this

  • Building a factual profile of a key custodian or witness
  • Preparing interview outlines based on documented actions
  • Supporting investigation summaries with sourced facts
  • Identifying gaps in the record for a specific individual

Sample prompt

Fact Extraction Prompt

Extract all factual actions by [Person]. Format: '[Date]: [Fact 1], [Fact 2]'. No speculation.

Replace [Person] with the actual name of the individual. If the person goes by multiple names or aliases in the documents, list them in the prompt -- for example, "Extract all factual actions by John Smith (also referred to as J. Smith or JS)."

Tips for better results

If a document does not mention the named person, Claira should return no results for that document. If you are seeing irrelevant output, make your prompt more specific about what counts as a "factual action."
  • Be precise about what you mean by "factual." Actions (sent an email, attended a meeting) are different from opinions or descriptions. If you only want actions, say so.
  • Include date formatting guidance. Specifying a format like YYYY-MM-DD keeps the output consistent across documents and makes downstream sorting easier.
  • Run fact extraction after summarization. Summaries help you identify which documents are worth extracting facts from, so you can target your extraction prompts more effectively.

Need help? Contact support@claira.to

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