6 min read AI Automation

Evaluate PDF Documents with AI: Check Contracts & Invoices

How to evaluate contracts, invoices and reports with AI in seconds - with copy-paste prompts for contract review and data extraction.

Picture this: a 24-page framework contract lands on your desk. Somewhere between the clauses hide the notice period, the liability cap, and an automatic renewal clause. You really ought to read all of it carefully now - but between two meetings there’s simply no time.

That’s exactly the situation a managing director I recently advised found himself in. “Dennis, I regularly sign contracts I haven’t fully read - simply because I don’t have the time.” A dangerous admission, and one I hear surprisingly often. The good news: AI can become a safety net precisely here.

The Document Problem in Mid-Market Companies

PDFs pile up in every company: contracts, invoices, quotes, technical data sheets, official letters, reports. They all contain important information - but reading them takes an enormous amount of time:

  • Contracts need to be checked for critical clauses
  • Invoice data is transferred manually into other systems
  • Long reports are only skimmed, important details slip through
  • Recurring documents are processed by hand every single time

The result: Hours are lost reading and re-typing - and details still get missed, because concentration and time are limited.

AI as Your Document Assistant

Modern AI tools like ChatGPT, Claude, or Microsoft Copilot can process PDFs directly. You upload the document and ask questions in natural language - the AI reads in seconds what would otherwise cost you an hour.

One thing matters here: AI does not replace legal or professional judgement. But it gives you a lightning-fast overview, points out critical passages, and extracts data reliably - so you can focus on the decisions that really matter.

How It Works in Practice

Step 1: Upload the PDF into the AI tool (Claude and ChatGPT support this directly)

Step 2: Ask a concrete question or set a task

Step 3: Check the answer - follow up if needed

Step 4: Reuse the result (e.g. transfer into a spreadsheet or system)

My Proven Prompt Template for Contract Review

I use this prompt before taking a closer look at any contract:

You are my contract assistant. Analyse the uploaded PDF and give me:

1. Contracting parties and subject matter (briefly)
2. Term and notice period
3. Automatic renewal clauses (if any)
4. Liability and warranty provisions
5. Payment terms
6. Conspicuous or one-sided clauses I should examine more closely

For each point, cite the relevant location (clause/page).
Do NOT give a legal assessment - only flag what I should show a lawyer.

Example: Extract Invoice Data

Instead of laboriously re-typing invoices, have the data output in a structured way:

Extract the following data from this invoice as a table:
Invoice number, date, supplier, net amount, VAT, gross amount, due date.
If a field is missing, write "not found".

You can copy the result straight into your accounting system or a spreadsheet.

Example: Summarise Long Reports

Summarise this report in 5 bullet points.
Highlight the 3 most important findings and all recommended actions.
Also list all figures, deadlines and responsible people mentioned.

Example: Compare Documents

I'm uploading two versions of a quote.
List all substantive differences - especially in prices, quantities and scope of services.

What You Should Watch Out For

Data protection comes first: Contracts and invoices contain personal and confidential data. For sensitive documents, only use GDPR-compliant tools with a data processing agreement - not free consumer versions that use your data for training.

AI doesn’t replace a lawyer: For legally critical contracts, AI is a pre-filter, not legal advice. It helps you ask the right questions - the decision is yours (or your lawyer’s).

Always double-check figures: Errors happen when extracting amounts and dates. Spot-check critical values against the original.

Bad scans = bad results: With scanned PDFs that lack text recognition (OCR), the AI can misread content. Use clean, text-based documents.

Provide context: Tell the AI what it’s looking at (“This is a commercial lease agreement”). It noticeably improves the results.

Checklist: Evaluating PDFs with AI

  • Choose a GDPR-compliant tool for sensitive documents
  • Name the document type and goal in the prompt
  • Request structured output (table, bullet points)
  • Ask for source references (page/clause)
  • Check extracted figures against the original
  • For legally critical points: involve a specialist
  • Transfer the result into the target system or archive it

Quick Win for Today

Try this in 5 minutes: Take the next invoice or quote sitting on your desk. Upload it into an AI tool and use the extraction prompt above. You’ll get the key data cleanly as a table - in the time you’d otherwise have spent just hunting for the invoice number.

When Individual Cases Should Become an Automated Process

Evaluating individual documents with AI saves time immediately. It gets really exciting when dozens of invoices, orders, or delivery notes arrive daily - that’s when real automation pays off. Incoming PDFs are detected automatically, the data is extracted and transferred straight into the ERP or accounting system, with no manual re-typing at all.

These are exactly the kind of document processing workflows we build for mid-market companies. Take a look at our AI automation or let’s talk about your specific use case in a no-obligation conversation.

Try the prompts above first - in the next newsletter we’ll cover how to clean up your master data and find duplicates with AI.

Best regards
Dennis

Dennis Pfeifer
Dennis Pfeifer
Founder & IT Consultant
LinkedIn

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