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NDA Analyzer — flag risky clauses, missing carveouts, negotiation points

Drop a Non-Disclosure Agreement. We surface risk flags by severity, missing standard carveouts (residual knowledge, publicly-known info), embedded non-competes, and IP-assignment-in-NDA traps. 15 credits.

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HOW IT WORKS

Three steps. No surprises.

1
Drop the NDA
Unilateral, mutual, multilateral, founder-to-investor, employee, vendor — any flavour.
2
We audit clause-by-clause
Risk-flagged with severity (high/medium/low) and the verbatim quote so you can read it in context.
3
Get redlines to push back
3-5 specific negotiation points with suggested replacement language a non-lawyer can confidently propose.
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THE FULL GUIDE

NDA Analyzer — the five clauses that hide in every non-disclosure agreement

Non-disclosure agreements are signed faster than almost any other legal document. A vendor sends one before the first meeting, an investor sends one before the first pitch, an employee signs one on day one — sometimes after a 30-second skim. The friction with that pattern is that NDAs frequently contain clauses that have nothing to do with non-disclosure: embedded non-competes, IP assignment, exclusive jurisdiction in distant cities, even employment-style restrictions. Here is what the NDA analyzer surfaces, the five most common hidden clauses, and the redline approach that lets a non-lawyer push back confidently.

What the analyzer actually checks

The tool reads the full NDA text, then runs an AI audit pass that compares each clause against a checklist of NDA best-practices and known trap clauses. Output is a risk-flagged clause-by-clause analysis: each finding includes a severity rating (high / medium / low), the verbatim quote of the offending text, an explanation of why it's flagged, and a suggested redline. Plus a missing-clauses section that surfaces standard NDA carveouts (residual knowledge, publicly-known information, government-required disclosure) that should be present but aren't.

The output is structured for action. You can take the redlines directly into a negotiation with the counterparty, or pass them to your lawyer for review. The verbatim quotes mean you can verify every flag — the AI isn't asking you to trust its summary; it's pointing at the actual text in the document.

Five clauses that hide in every NDA

The patterns the analyzer catches most often:

  • Embedded non-competes. An NDA shouldn't restrict where you work next. Many do, with 12-24 month post-engagement non-competes buried in the obligations section. In India specifically, Section 27 of the Indian Contract Act makes most post-employment non-competes unenforceable, but having them in writing still chills you. Always flagged high-severity.
  • IP assignment. An NDA shouldn't include IP assignment language (that belongs in an employment / consulting / IP agreement). When found in NDAs, it often gives the counterparty rights to derivatives and improvements — much broader than the disclosure context warrants. Common in founder-investor NDAs as a hidden trap. High severity.
  • Mutual vs unilateral mismatch. Mutual NDAs protect both parties' confidential information; unilateral NDAs only protect one side. The analyzer surfaces which direction the document actually flows. Surprisingly often, a document labeled 'Mutual NDA' has unilateral restrictions buried in the substantive clauses.
  • Missing standard carveouts. Every reasonable NDA carves out: information already publicly known, information independently developed, information required to be disclosed by law, residual knowledge in the recipient's head. Carveouts left out turn an NDA into a perpetual gag. The analyzer flags each missing carveout explicitly.
  • Exclusive jurisdiction in distant cities. An NDA between two parties based in Bangalore shouldn't have exclusive jurisdiction in Delhi or Mumbai (let alone Singapore or Delaware). Distant-jurisdiction clauses make any dispute economically prohibitive — usually the point. Flagged medium-severity with context.

The redline approach for non-lawyers

Each flag in the output comes with a suggested replacement that a non-lawyer can confidently propose to the counterparty:

  • Quote what's flagged. 'I noticed this clause: [verbatim quote]. This typically belongs in an employment agreement, not an NDA. Could we remove it from the NDA and address IP separately if needed later?'
  • Suggest the replacement. 'I'd propose: [replacement language from the analyzer's output].' Pre-built language is much easier to push than vague objections.
  • Reference the standard. 'Standard NDAs typically include carveouts for [list]. Could we add those?' Naming the omitted carveouts directly shifts the conversation from 'you're being difficult' to 'we're aligning to standard practice.'

When to use this tool vs go straight to a lawyer

Three signals that the analyzer is sufficient:

  • Low-stakes mutual NDA between equal counterparties. Vendor-prospect, founder-advisor, exploratory partnership talks. The analyzer's audit usually suffices.
  • Standard form NDA from a Fortune 500. Big-company NDAs are usually variations on a well-known template. The analyzer's pattern-match catches deviations.
  • Pre-meeting NDA before a first conversation. Often signed to enable a 30-minute discovery call. The analyzer's 15-credit cost is dramatically cheaper than a lawyer's review for routine documents.

When you should escalate to counsel

Three signals that suggest a lawyer is worth the cost:

  • M&A or acquisition discussions. Pre-deal NDAs often carry standstill provisions, no-shop language, or specific-performance remedies that should be vetted by deal counsel.
  • Large vendor or supply-chain relationships. NDAs governing relationships worth significant revenue should be reviewed in the context of the broader commercial deal — a lawyer doing both at once finds inconsistencies the analyzer alone cannot.
  • IP licensing context. If the NDA is the first step in an IP licensing discussion, the IP assignment + non-compete provisions deserve careful expert review.

Limits and pricing

NDA Analyzer charges 15 credits per analysis. The tool handles PDFs up to 25 MB. Processing runs on our servers; the document is in memory only during analysis and is never persisted. Output is the structured risk-flag list plus suggested redlines.

Important: This is not legal advice. The tool is an audit aid. For NDAs in any of the three escalation categories above, consult an employment / commercial / IP lawyer as appropriate.

WHAT USERS SAY

From people who switched

★★★★★
“Switched my whole bank-statement workflow off iLovePDF in an afternoon. The unlimited free tier alone saves me $5/month, and the AI summarize on long contracts is the killer feature.”
— Marcus, freelance accountant
★★★★★
“We were paying for Smallpdf Pro for 4 seats and it still hit daily limits during quarter close. pdfcraft ai handled the same workload at one quarter the price with no caps.”
— Priya, Operations Lead at a SaaS startup
★★★★★
“The Compare PDFs tool with AI severity classification saved me at least 4 hours per redline. I do contract review at the firm, this is now part of my muscle memory.”
— James, In-house counsel
FAQ

Questions people actually ask.

Embedded non-competes. Indian NDAs often slip in 12-24 month non-compete clauses with extremely broad scope. Section 27 of the Indian Contract Act makes most post-employment non-competes unenforceable, but having them in the document still chills you. We flag them every time.

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