Analytics starts with extraction
You cannot analyze what is trapped in PDFs. The first job is to convert text into fields, and that is what ContractsAnalyzer does on upload. Parties, contract type, effective date, term, renewal type, notice deadline, contract value, payment terms and governing law become columns instead of paragraphs.
Questions it answers
Once the fields exist, portfolio questions become filters.
- How many agreements renew in the next quarter, and which have notice windows already open
- Which counterparties account for the most contract value
- Where are payment terms longer or shorter than our standard
- Which contracts carry high risk and under which governing law
- Which agreements have price increase language
Risk as a measurable field
Every contract gets an overall risk level and a count of flagged clauses across thirteen clause families. Because the scoring uses the same playbook for every document, the numbers are comparable between contracts and over time, which is what makes them useful for reporting.
Weekly digest and obligation calendar
Analytics is only useful if it reaches people. Team and Business plans send a weekly digest by email and provide an obligation calendar, so owners see what is coming without logging in. Renewal alerts at 90, 60, 30 and 7 days before the notice deadline cover the dates that cost money.
Take the data with you
Summaries and key terms export to CSV on every plan. If your finance team builds dashboards in a spreadsheet or a reporting tool, the contract fields drop straight in. Business adds custom extraction fields, so a field unique to your industry can be pulled from every agreement.
Scale and plans
Starter analyzes 40 contracts per billing period, Team 250 and Business 1,200, with repositories of 250, 2,500 and unlimited contracts. ContractsAnalyzer reports what the documents say. It is not legal advice, and figures extracted from text should be confirmed for any decision with real money behind it.
From numbers to decisions
Data only matters when it changes a decision. A finance lead who sees that a handful of suppliers hold most of the contract value will prioritize those renewals. An operations manager who finds that payment terms vary widely across similar vendors can standardize them at the next renewal. A legal lead who sees which governing law clauses appear most often can decide where to push back. None of this requires a data team. The repository filters answer the first round of questions, the CSV export handles the rest, and every figure links back to the clause excerpt it came from, so anyone can check where a number originated before it goes into a report. Teams that report to a board or lender can attach the exported table to a regular update, with renewal exposure and risk counts already computed.