AI Contract Risk Review

Industry: Construction, subcontracting and contract management
Organisation: Australian construction technology startup
Solution type: AI SaaS MVP, marketing website and report engine
Core technology: Anthropic Claude API, .NET, Angular, SQL Server, Azure, Stripe
Engagement: MVP build and ongoing extension

Headline resultLaunched within four months of kick off with consistent, repeatable AI reports

Overview

Subcontractors are often handed long contracts after a job is awarded and asked to sign within days. Through our SaaS development services, we built an AI powered SaaS platform that reviews a subcontract and returns a plain English risk report, clause by clause, with suggested response wording and a departures schedule ready to send to the head contractor.

The Business Problem

Most subcontractors do not have the time or legal budget to review a hundred pages of contract wording before signing. Risks are discovered too late. The founder had tested general AI chat tools, but results changed every time the same contract was uploaded, which made them unsuitable for a professional product.

Short signing windowsShort signing windows and dense contract drafting
Inconsistent AI resultsInconsistent results from general purpose AI chat tools
Report qualityNeed for a professional report that can be sent to the builder
AI cost controlPer analysis AI costs had to stay commercially viable

Our Solution

Using our AI software development services, we designed a constrained AI architecture instead of a chat interface. The model completes a fixed, versioned structure rather than writing free form text. A defined assessment framework, scoring basis and report layout apply baseline checks to every contract, so each report covers the same ground in the same way.

Users complete a short prequalification survey for project context, receive a free instant risk rating, then pay a flat fee for the full report. Reports are generated server side and emailed with a web view. An admin portal lets the client tune the assessment framework and test changes against real contracts before releasing them. AI usage runs on the client’s own Anthropic account.

User answers a short survey
Free instant risk rating
Flat fee unlocks the full report
AI reviews the contract clause by clause
Report emailed with a web view

AI-assisted construction subcontract risk review

Key Features

Prequalification survey to give the AI project context
Free instant risk rating before purchase
Clause by clause risk breakdown in plain English
Suggested negotiation wording
Departures schedule with a blank response column for the builder
Flat price checkout with Stripe
Emailed report with web view
Admin portal to tune and test the assessment framework
OCR for scanned contract documents

Outcomes

Launched in around four months from project start
Every report follows the same structure, so users know exactly what they will receive
Cost per analysis kept within a viable margin
Negotiation automation and a builder portal planned for later phases, with architecture ready to support them

Technology Stack

Frontend4 technologies

Angular

HTML

CSS

JavaScript

Backend5 technologies

.NET

REST APIs

Entity Framework

Microservices

Database1 technology

SQL Server

Cloud and DevOps4 technologies

Azure Web Apps

Azure API Management

Azure Blob Storage

Azure DevOps

AI1 technology

Anthropic Claude API

Integrations5 technologies

Stripe

OCR

Google Analytics

Microsoft Clarity

reCAPTCHA

Who This Solution Suits

This approach suits legal technology startups, construction businesses, insurers and any organisation that wants to use large language models to produce consistent, professional documents rather than unpredictable chat responses.