---
name: nda-snapshot
title: NDA Snapshot
description: Use when the user wants to compare the substantive NDA-specific terms across N non-disclosure agreements side-by-side — the definition of Confidential Information, permitted recipients, return/destruction obligation, and remedies clause across each agreement. Returns a row-per-document × column-per-question grid with citations per cell. NDA-tuned reference skill for the M3-C `output_format - table` mode; intended as a fork-and-tune starting point for operators reviewing NDA portfolios.
author: LegalQuants
author_url: https://github.com/LegalQuants/lq-ai/tree/main/skills/nda-snapshot
license: Apache-2.0
version: 0.1.0
execution_mode: open
jurisdiction: general
practice: contracts
language: en
---

# NDA Snapshot

A reference skill for the M3-C `output_format: table` mode, tuned for non-disclosure agreement portfolios. Produces a side-by-side grid of NDA-specific terms across N agreements — the in-house lawyer's "compare these NDAs we have with vendors / counterparties / candidates" workflow. Each cell carries a citation back to the source document; failed extractions render as `not found` rather than confidently-wrong text.

## When this skill applies

Apply when the user has a portfolio of NDAs and wants to see how key substantive terms compare across them. Examples:

- "I have NDAs with our top 20 vendors — show me how the definition of Confidential Information varies and where the carveouts are tightest."
- "Compare the return/destruction obligations across these 10 candidate NDAs before we standardize our template."
- "What remedies are available across the 5 mutual NDAs in this M&A diligence box?"

Do not apply this skill to:

- Single-NDA review — use `nda-review` for one document at a time.
- General contract comparison across mixed types — use `contract-snapshot` for the general Term/Survival/Carveouts/Governing-Law grid.
- Free-form Q&A about an NDA — that's the regular Chat surface.

## Pairing with the synthetic corpus

This skill ships paired with the synthetic NDA corpus in `docs/quickstart/sample-ndas/` (5 mutual NDAs with varying terms). Operators trying LQ.AI for the first time can attach those 5 PDFs to a Knowledge Base and run this skill to see the tabular workflow end-to-end without committing real documents to the system.

## Fork-and-tune notes

The four columns here are deliberately NDA-specific — they don't overlap with the general `contract-snapshot` columns (Term, Survival, Carveouts, Governing Law). Operators who want both can run the two skills in sequence, or fork this skill and add a Term/Governing-Law column for a combined view.

When forking for your own NDA template / counterparty patterns, common modifications include:

- Adding a **Term** column if you care about NDA duration (often 2–5 years).
- Adding a **Notice of Compelled Disclosure** column if you negotiate that provision frequently.
- Replacing the **Permitted Recipients** column with a narrower **Affiliate Permission** column if your business has a specific affiliate-sharing pattern.
- Bumping `minimum_inference_tier` to 3 on all columns if you need higher-fidelity extraction for high-stakes deals.

The four columns chosen here reflect the questions a junior associate or paralegal would most often be asked to extract during NDA portfolio review — they are the highest-frequency, highest-value comparison points across typical mutual-NDA practice.

## Output expectations

For each document × column cell:

- A quoted phrase or short paragraph from the source document, anchored by character offsets to enable the citation modal.
- A brief plain-language summary when the operative clause is long or convoluted.
- `not found` when the requested term is genuinely absent from the document (not when extraction failed — those surface as a parse error in the cell footer).