Relevance with Confidence

Use this template for repeatable, defensible AI review in Claira.

When you select this template, Claira displays the prompt configuration panel. Map the output to a review field in your case — typically a Memo field for the relevance determination, confidence score, and explanation.

What this prompt is for

This template helps standardize outputs so reviewers can validate and code results quickly.

Step-by-step in Claira

1. Open Prompting > Template picker in your case.
2. Select Relevance with Confidence and map the output to one or more review fields.
3. Run a 10-25 document sample and inspect edge cases first.
4. Adjust instructions outside the prompt body (field mapping, workflow settings), then rerun.

The prompt

Assess whether this document is relevant to the following case context:
[insert case description]

Return ONLY one searchable relevance value:
YESREL or NOTREL.

Then return a confidence score from 1 to 5 (5 = highest) and a concise explanation referencing key language or themes.

Recommended customizations

• Add case context before running (date range, custodians, issue framing).
• Keep output constraints explicit (format, allowed values, fallback behavior).
• Version your template configuration so results remain reproducible.

Worked example

Input excerpt

Email dated 2025-02-14 from Dana Lee to Jordan Park confirms the vendor contract amendment was approved and signed the same day.

Expected output shape

A concise answer that follows the exact format required by the prompt and is directly mappable to your selected review field(s).

Troubleshooting

• If output is too broad, reduce scope and test with a smaller sample.
• If output format drifts, restate strict formatting requirements in workflow instructions.
• If quality varies across models, compare two models on the same fixed sample set.

Related

• Prompting Overview
• Custom Prompts