Risk & Compliance · Use Case Hub
Automate Contract Review with AI
How to automate contract review with AI across 42 industries. Workflow design, AI agents, governance, and the KPIs (review cycle time, fallback usage, negotiation rounds, and contract leakage) we report on weekly. Pick your industry below for a scoped engagement.
Early access: we work with a small first cohort. Engagements are scoped, priced, and shipped end-to-end by our team — not referred to third parties.
Primary outcome
speed up legal and commercial review while protecting standards
What we ship
clause playbook, contract review assistant, redline workflow, and fallback library
KPIs we report on
review cycle time, fallback usage, negotiation rounds, and contract leakage
What "automating contract review with AI" actually means
Automating contract review with AI is not a single product you buy. It is a workflow you redesign around AI as the operating layer. The agent handles the high-volume, high-structure tasks. Humans handle edge cases, exceptions, and trust-sensitive decisions. The system is instrumented to measure review cycle time, fallback usage, negotiation rounds, and contract leakage and improve weekly.
What changes by industry is the systems the agent integrates with, the data it retrieves over, the controls it operates under, and the KPIs it has to defend. The architecture is similar; the integration and the controls are different.
The architecture we use for AI contract review
- Frontier LLM — Claude, GPT-4-class, or Gemini. We benchmark candidates on a labelled test set during Discovery.
- Retrieval layer over your approved internal sources, with source citations on every output.
- Tool use for reads and writes against your operational stack (CRM, ERP, ticketing, data warehouse).
- Reviewer queue for low-confidence outputs. Confidence thresholds set per workflow.
- Evaluation harness — labelled test set, weekly accuracy reports, regression alerts.
- Versioned prompts and reviewer-action audit logs for traceability.
Pick your industry
42 industries. Each industry page is a scoped engagement with industry-specific systems, controls, and pricing.
Commerce
Energy
Financial Services
Automate Contract Review in Banking
core banking · CRM · KYC platforms
Automate Contract Review in Insurance
policy administration · claims platforms · broker portals
Automate Contract Review in Wealth Management
portfolio management · CRM · financial planning tools
Automate Contract Review in Payments
payment gateways · risk engines · merchant portals
Food and Agriculture
Food and Hospitality
Healthcare
Automate Contract Review in Healthcare Providers
EHR · RCM · patient portals
Automate Contract Review in Pharmaceuticals
CRM · medical information systems · safety databases
Automate Contract Review in Medical Devices
QMS · CRM · field service platforms
Automate Contract Review in Biotechnology
ELN · LIMS · clinical trial systems
Manufacturing and Industrial
Manufacturing and Mobility
Media
People Operations
Professional Services
Public and Knowledge Services
Public and Social Impact
Public Sector
Real Assets
Supply Chain
Technology
Technology and Communications
Travel and Hospitality
Frequently asked questions
How do you automate contract review with AI?+
We map your existing contract review workflow, identify high-volume and high-structure tasks, build an AI agent that handles those tasks, and route low-confidence cases to a human reviewer. The build connects to the systems your industry already runs on, runs against a labelled test set, and ships behind a reviewer queue before it sees production traffic. We measure review cycle time, fallback usage, negotiation rounds, and contract leakage from day one and improve weekly.
What is the best AI agent for contract review?+
There is no single off-the-shelf "best" agent for contract review — the right architecture depends on the systems and data of your industry. We typically combine a frontier LLM (Claude, GPT-4-class, or Gemini) with a retrieval layer over your approved sources, tool-use for your stack, and a reviewer queue. We benchmark candidates against a labelled test set during Discovery and pick the model with the best accuracy/cost ratio.
What does AI contract review cost?+
Three phases, billed separately. Discovery sprint: $8k. Build engagement: $30k–$40k. Run retainer: $4k–$6k / mo. ~$52k–$90k typical year 1 (~80% take the run option, regulated workflows need ongoing controls). Pricing varies slightly by industry — see the industry-specific pages below.
How long does it take to deploy AI contract review?+
Thin-slice in production in ~6 weeks after Discovery, full Build phase over 8-12 weeks. By day 90, review cycle time, fallback usage, negotiation rounds, and contract leakage is instrumented and you have a baseline against which to expand to adjacent workflows.
Which industries do you build AI contract review for?+
All 42 industries listed below. Each industry has its own scoped engagement page with industry-specific systems, controls, and KPIs. Common starting industries include Airlines, Airports, Hotels, Travel Agencies, Banking, and others.
What do we own, and what do you own?+
We own workflow design, prompts, retrieval architecture, evaluation harness, and weekly improvement. You own data access, policy, exception approval, and final commercial decisions. At the end of the engagement, every prompt, eval, and config is handed over — no lock-in.
Start the engagement
Book a discovery call for AI Contract Review
Tell us about your workflow, the systems involved, and the KPI you want to move. We'll send a scoped statement of work within 5 business days.