Contract Data Extraction Software
— AI-Powered, Confidence-Scored
Nextraxion is AI-powered contract data extraction software that pulls structured data from service agreements, NDAs, employment contracts, SaaS agreements and more — with a confidence score and source text on every field. Define your fields once. Works across every contract, every time.
What is contract data extraction?
Contract data extraction is the process of automatically identifying and capturing structured information from contracts — such as party names, effective dates, payment terms, renewal clauses, obligations, and liability caps — and organising it into a searchable, exportable format. Without automation, this process requires legal or operations staff to manually read every contract, which is slow, expensive, and error-prone at scale.
Why it matters
Contracts contain the obligations, deadlines, and financial commitments that run your business. When that data is locked in PDFs and Word documents, teams miss auto-renewal windows, overlook liability clauses, and can't audit their supplier base without weeks of manual work. Contract data extraction software makes that information instantly accessible — across one contract or ten thousand.
Why a specialist tool beats a CLM add-on
Full contract lifecycle management platforms include extraction as one feature among dozens. Nextraxion is built exclusively for extraction — which means higher accuracy on complex and legacy contracts, faster setup (under 10 minutes), and no paying for drafting, negotiation, or e-signature features you don't need. If extraction is the problem, use a tool built to solve it.
What contract data extraction software should capture
Parties
Company name, counterparty, signatory names and roles
Key dates
Effective date, expiry date, signing date, renewal date
Financial terms
Contract value, payment schedule, late payment penalties
Governing law
Jurisdiction, applicable law, dispute resolution clause
Termination
Notice period, break clauses, early exit conditions
Obligations
Liability cap, indemnification, confidentiality, IP ownership
Reference data
Contract number, agreement type, amendment history
Renewal terms
Auto-renewal clause, opt-out window, renegotiation triggers
Works across every contract type
Service agreements
Scope of work, deliverables, SLAs, payment milestones, termination clauses
Employment contracts
Start date, salary, notice period, non-compete, IP assignment
NDAs
Parties, confidential information definition, duration, governing law
SaaS agreements
Subscription term, usage limits, auto-renewal, data processing addendum
Retainer agreements
Monthly fee, scope, hours included, overage rate, termination notice
Purchase agreements
Vendor, goods, quantities, unit price, delivery terms, warranties
Up and running in under 10 minutes
Build your contract template
Name your template, set the document type to 'Service Agreement' or 'NDA' and AI suggests the most relevant fields instantly.
Upload one or hundreds
PDF, Word, or scanned contracts. Upload individually or in bulk — batch processing handles overnight runs.
Review, validate and export
Every field comes back with a confidence score and the exact source text it came from. Flag anything that needs a second look. Export to CSV or JSON, or connect via API.
Built for every team that touches contracts
Legal Operations
Extract obligations, renewal dates, and liability caps from hundreds of contracts overnight — no manual review.
Procurement
Spot auto-renewal clauses and price escalation triggers before they fire, across your entire supplier base.
Finance
Pull payment terms, contract values, and penalty clauses into a single spreadsheet in minutes, not weeks.
Compliance
Audit confidentiality, GDPR, and indemnification clauses across all active contracts without reading each one.
What contract data extraction actually replaces
A lawyer or legal ops professional reviewing a contract manually takes between 30 and 60 minutes per document — longer for complex multi-party agreements or older documents with non-standard formatting. At a blended hourly rate of £80–£150 for a qualified legal or ops hire, reviewing 100 contracts costs somewhere between £4,000 and £15,000 in labour. That assumes no mistakes.
In practice, manual review introduces errors at a rate of around 10–15% — not because the reviewer isn't competent, but because reading dense legal text for six hours is cognitively exhausting. Missed renewal dates, incorrectly transcribed contract values, and overlooked notice periods are the most common failure modes. Each one carries a real cost: an auto-renewed contract you didn't want, a payment dispute with a vendor, or a compliance gap that surfaces in an audit.
Contract data extraction changes the economics entirely. Processing 100 documents through Nextraxion takes minutes, not weeks. Each field comes back with a confidence score — so instead of reading every page, your team focuses only on the handful of values the AI flags as uncertain. That typically reduces the human review burden by 80–90%, without removing the human check entirely.
The shift isn't about replacing legal judgment. It's about ensuring that the routine, repeatable work of pulling structured data out of standard documents no longer consumes the time of people who should be doing higher-value work.
Every field
scored for confidence
< 10 min
first extraction
$69/mo
starter plan
Guides and resources
Frequently asked questions
Start extracting data from your contracts today
No legal expertise needed. No IT team. First extraction in under 10 minutes.
Starter from $69/mo · No credit card required
Guides & Resources
How to Extract Data from Contracts Using AI
Manual contract review takes hours. Here's how modern extraction tools pull the data you need — automatically.
What Fields Can You Extract From a Contract?
A practical guide to contract data extraction fields — from parties and dates to payment terms and custom fields.
How Accurate Is AI Document Data Extraction?
The honest answer — including how confidence scoring works and how to build a review process that catches the gaps.
Is It Safe to Upload Confidential Documents?
A plain-English guide to the six things worth checking before you upload a contract, invoice, or NDA to any cloud tool.
CV Data Extraction for HR Teams
How HR teams use automated CV extraction to process high volumes of applications faster, with consistent structured data for every candidate.
Lease Abstraction Software for Property Managers
How property managers use lease abstraction software to automatically extract critical dates, rent reviews, and break clauses from lease agreements.