CONTRACT & DOCUMENT INTELLIGENCE — AI SPRINT
ML system that reads, extracts, and structures key data from contracts, agreements, or documents at scale — removing manual review.
Free diagnostic · Blueprint sprint with money-back guarantee · Full handoff
WHAT YOU HAVE AT THE END
Fixed price · Everything stays with you
Here’s what this looks like in practice:
CONTRACT REVIEW
Your team reviews contracts in minutes, not hours
The system reads incoming contracts and extracts: payment terms, termination clauses, liability caps, renewal dates, and any custom fields you define. Your legal team reviews a structured summary — not 40 pages of prose.
COMPLIANCE FLAGGING
High-risk clauses are surfaced before anyone signs
The system identifies non-standard clauses, missing required terms, and provisions that fall outside your standard risk parameters — automatically, before the contract reaches legal for review.
PORTFOLIO ANALYSIS
You see patterns across 500 contracts simultaneously
Finance and procurement teams use the query interface to ask: 'Which contracts have auto-renewal before 60 days?' or 'Which suppliers have uncapped liability?' across your entire portfolio — instantly.
VENDOR DATA EXTRACTION
Procurement data that used to take weeks arrives in hours
The pipeline ingests vendor agreements, extracts pricing terms, SLA commitments, and contract durations, and loads them into your ERP or procurement system — without manual data entry.
Every engagement starts with a free 45-minute diagnostic. We map your situation and tell you whether this sprint is the right fit before you spend a dollar.
Blueprint sprint has a money-back guarantee. If the agreed deliverable isn’t met, you pay nothing. No conditions, no argument.
Everything built during the engagement — code, models, documentation — is yours. No lock-in, no ongoing dependency.
THE PROBLEM
Manual review doesn't scale
“"We have 400 contracts to review before end of quarter. Legal has two people. Something will get missed."”
GENERAL COUNSEL
Extraction errors in data entry
“"We entered the wrong renewal date for a contract worth $2M. We found out when it auto-renewed."”
FINANCE DIRECTOR
No visibility across the portfolio
“"I can't answer 'which of our supplier contracts have an uncapped liability clause' without someone reading every one."”
VP PROCUREMENT
Review time kills deal velocity
“"The average time from contract received to reviewed is 8 days. That's the single biggest delay in our sales cycle."”
CRO
WHAT THE BLUEPRINT SPRINT UNCOVERS
Extraction accuracy depends on document consistency
The more consistent your document formats, the higher the extraction accuracy. The audit identifies which document types can be fully automated and which need human review checkpoints.
Clause-level extraction is different from document-level search
Full-text search finds documents. Extraction identifies specific fields, values, and clauses — and outputs them as structured data your systems can use.
Compliance flagging requires your risk criteria
The system flags what you define as high-risk. The sprint starts with a session to document your organisation's risk parameters — so the model catches what matters to your legal team.
Every extraction needs an audit trail
A system that extracts without showing its source paragraph creates a new liability. Every field we extract is linked to the exact paragraph it came from.
WHY THIS IS DIFFERENT
Extraction without an audit trail replaces one legal risk with another.
Most document extraction tools output a value with no source. When legal challenges a flagged clause, nobody can show where the extraction came from. The tool creates a new version of the same problem.
Every extraction we build includes a source citation — the exact paragraph the value came from. Legal can verify any output in under 30 seconds. Your audit trail is built in, not bolted on.
THE METHODOLOGY
The AI Build System
Four phases. Every AI engagement, every time.
Map and clean your data sources. Define accuracy targets and query patterns before writing a line of code.
Train, fine-tune, and test the model on your corpus. Iterate until the target accuracy is hit.
Ship to your environment — cloud or on-prem. Integrate with your product or internal tools.
Live dashboard tracks performance from day one. You see what's working and what needs attention.
After handoff: your team updates data, the system retrains — no ongoing dependency on ProductQuant.
WHAT YOU GET
An extraction pipeline that turns unstructured documents into structured, queryable data — with the key fields, clauses, and flags your team actually needs, surfaced automatically.
FIT CHECK
The situation
Legal, ops, procurement, or finance teams processing high volumes of contracts or documents where manual extraction is slow, error-prone, and expensive
What changes
You have an extraction pipeline that turns unstructured documents into structured, queryable data — with the key fields, clauses,.
Jake McMahon — ProductQuant
I work with B2B SaaS product and operations teams to build and deploy the systems they need — without consuming their engineering capacity or waiting 18 months for the roadmap.
Every engagement starts with a free diagnostic and a scoped blueprint sprint with a money-back guarantee. If the sprint doesn’t hit the agreed target, it costs you nothing.
Teams Jake has worked with





PRICING
STEP 1
Free Diagnostic
Free
45-minute scoped call
STEP 2
Document Intelligence Blueprint Sprint
$2,500–$3,500
Fixed scope · 2 weeks · Money-back guarantee
STEP 3 (OPTIONAL)
Full Engagement
$15K–$40K
Scope-dependent · Full production build
If the blueprint sprint doesn't deliver a tested extraction pipeline with documented per-field accuracy on your sample documents, the sprint is free.
Blueprint sprint with money-back guarantee. Audit trail on every extraction.