Document Review Automation on Close, Powered by AI
Run Document Review on top of Close with a DeskFerry agent. Faster execution, fewer errors, zero manual busywork.
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 Close work for Document Review automation?
Close 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 Close 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 @Close
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 @Close
- 2Flag deviations from our standard terms
- 3Draft a redline
How it connects
Connect Close. The agent does the rest.
Claude and ChatGPT are already running on our side. You connect Close with one click, and document review runs inside it.
Claude and ChatGPT run on our keys. Nothing for you to configure.
- CloseConnect
Runs on your data, in your apps.
Nothing to deploy. Nothing to maintain.
Actions
What Close + DeskFerry can do
Real Close actions your AI agent can perform automatically — no manual work required.
Create or update contacts
AI creates new contact records in Close from incoming leads or updates existing records when information changes.
Manage deal pipeline
Move deals through pipeline stages in Close based on AI-detected engagement signals and qualification scores.
Log activities and notes
Automatically log emails, calls, and meeting notes to the relevant contact or deal record in Close.
Enrich contact profiles
Pull firmographic and demographic data from external sources and append it to contact records in Close.
Score and qualify leads
AI evaluates new leads in Close against your ideal customer profile and assigns qualification scores.
Assign ownership rules
Route new contacts and deals in Close to the right sales rep based on territory, round-robin, or custom rules.
Generate pipeline reports
Extract deal data from Close and compile pipeline health summaries, win-rate trends, and forecast snapshots.
Sync data bi-directionally
Keep records in Close synchronized with other tools so every system reflects the latest contact and deal information.
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 Your Close Account
Authorize Close via OAuth in one click. DeskFerry maps your contacts, deals, and custom fields automatically.
Step 02
Set Up Sales Automation Rules
Define triggers — new lead, deal stage change, stale pipeline — and the AI actions to take in Close.
Step 03
Launch & Track Revenue Impact
Your AI agent starts working inside Close. Track leads processed, deals influenced, and time saved on your dashboard.
Start automating Document Review for Close
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
How long does it take to set up Document Review automation with Close?
Most users connect Close 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.
How does Close data stay secure during Document Review automation?
All data exchanged between Close and DeskFerry during Document Review processing is encrypted in transit and at rest. We use OAuth tokens for Close access, never store raw credentials, and maintain full audit logs of every Document Review action.
Can I run multiple Document Review workflows with different Close triggers?
Yes. You can create parallel Document Review workflows that respond to different Close events or conditions. For example, one Document Review flow for new Close records and another for updated ones — each with independent rules and actions.
How does AI-powered Document Review via Close compare to manual processing?
Manual Document Review in Close requires constant tab-switching, copy-pasting, and follow-up tracking. DeskFerry eliminates this by handling Document Review tasks in real-time as Close events occur — running 24/7 with consistent accuracy and zero fatigue.
What types of documents can the Document Review agent review for Close?
The agent reviews contracts, leases, policies, regulatory filings, and the close-specific documents your team handles daily — extracting key clauses, flagging non-standard terms, and surfacing risks against your standards library.
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