Run Document Review on AWS — AI Agent
Already on AWS? Add a DeskFerry agent for Document Review and save hours every week without writing code.
MSA reviewed. 4 deviations flagged · summary in the legal queue:
Customer
“Pls review attached MSA before Thursday — same terms as last time except we tightened the indemnity clause and added a data-residency requirement.”
Agent draft · in your tone
Reviewed. Three substantive changes vs. our template: (1) indemnity cap raised to 2× fees — recommend pushing back to 1×; (2) EU data-residency clause is acceptable; (3) auto-renewal language is one-sided — proposed redline attached.
How does AWS work for Document Review automation?
AWS works for Document Review automation by powering a DeskFerry agent that runs the workflow end-to-end inside your existing tools — no code, no custom build.
- 01
Trigger fires
The agent connects to AWS alongside the other apps your team already uses, watches for the triggers that matter for Document Review, and takes the next step on its own while keeping a complete audit trail for review.
- 02
Read the inbound MSA from Northwave with @AWS
AI analyzes contracts and documents in minutes instead of hours, surfacing key clauses and risks.
- 03
Flag deviations from our standard terms
Teams typically see hours → Minutes with flags for attorney attention once the agent is in production.
- 04
Draft a redline
You stay in control: every action is logged, confidence thresholds are configurable, and anything ambiguous is queued for a human instead of being silently auto-completed.
- 05
You approve
Anything under your confidence bar waits for a human.
How you tell it what to do
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the inbound MSA from Northwave with @AWS
- 2Flag deviations from our standard terms
- 3Draft a redline
How it connects
Connect AWS. The agent does the rest.
Claude and ChatGPT are already running on our side. You connect AWS with one click, and document review runs inside it.
Claude and ChatGPT run on our keys. Nothing for you to configure.
- AWSConnect
Runs on your data, in your apps.
Nothing to deploy. Nothing to maintain.
Actions
What AWS + DeskFerry can do
Real AWS actions your AI agent can perform automatically — no manual work required.
Provision cloud resources
Spin up servers, databases, or containers in AWS when deployment pipelines or scaling rules are triggered.
Monitor system health
Watch CPU, memory, and network metrics in AWS and trigger alerts when thresholds are breached.
Scale resources automatically
Adjust compute capacity in AWS based on traffic patterns, queue depth, or custom scaling policies.
Rotate secrets and credentials
Automatically rotate API keys, database passwords, and certificates in AWS on a defined schedule.
Deploy application updates
Trigger rolling deployments in AWS when new container images or build artifacts are available.
Manage DNS records
Create, update, or remove DNS entries in AWS as part of deployment or domain management workflows.
Collect and forward logs
Stream application and infrastructure logs from AWS to centralized logging and analysis platforms.
Enforce security policies
Audit resource configurations in AWS against compliance rules and remediate violations automatically.
Reviewed. Three substantive changes vs. our template: (1) indemnity cap raised to 2× fees — recommend pushing back to 1×; (2) EU data-residency clause is acceptable; (3) auto-renewal language is one-sided — proposed redline attached.
Customer reports a duplicate charge; refund queued, awaiting confirmation.
Customer asking what's included on the Growth plan vs. Pro.
Human in the loop
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Governance
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Northwave Procurement9:14 AM
Customer marked the resolution as helpful.
- Agent9:12 AM
Sent reply on ticket Doc · Northwave-MSA-v3.
Reason: Confidence above auto-send threshold; voice match passed; SLA at-risk.
- Agent9:11 AM
Drafted reply in your team's voice.
- Agent9:10 AM
Pulled customer plan, prior tickets, and account context.
- Agent9:09 AM
Triaged Doc · Northwave-MSA-v3 as the matching topic.
How it works
Get started in three steps
Step 01
Connect AWS
Authorize AWS and DeskFerry starts monitoring your infrastructure events and metrics.
Step 02
Define Ops Automation Rules
Set up triggers for AWS alerts — resource usage, security events, or deployment changes — and AI response actions.
Step 03
Automate Ops & Stay Secure
AI handles routine operations in AWS while flagging critical issues. Track incidents resolved and downtime prevented.
Start automating Document Review for AWS
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
What specific Document Review tasks can the AWS integration automate?
The AWS integration automates end-to-end Document Review — including data capture from AWS, validation, routing, follow-up actions, and status updates. Every Document Review step that touches AWS can be handled by the AI agent.
Can I customize which AWS events trigger Document Review actions?
Yes. You define exactly which AWS events start Document Review workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so Document Review actions only fire when your specific criteria are met in AWS.
Can I test Document Review automation with AWS before going live?
Yes. You can run Document Review workflows in test mode using sample AWS data before activating on live records. This lets you verify every Document Review rule works correctly with your AWS setup before processing real data.
How long does it take to set up Document Review automation with AWS?
Most users connect AWS and launch their first Document Review automation within 10 minutes. The guided wizard handles OAuth authorization, and you configure Document Review-specific rules through a visual no-code builder.
What types of documents can the Document Review agent review for AWS?
The agent reviews contracts, leases, policies, regulatory filings, and the AWS-specific documents your team handles daily — extracting key clauses, flagging non-standard terms, and surfacing risks against your standards library.
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