AI Agent for Document Review — Built for GitHub
Automate Document Review for teams using GitHub. DeskFerry agents handle the workflow end-to-end — no code, set up in minutes.
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 GitHub work for Document Review automation?
GitHub 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 GitHub 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 @GitHub
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 @GitHub
- 2Flag deviations from our standard terms
- 3Draft a redline
How it connects
Connect GitHub. The agent does the rest.
Claude and ChatGPT are already running on our side. You connect GitHub with one click, and document review runs inside it.
Claude and ChatGPT run on our keys. Nothing for you to configure.
- GitHubConnect
Runs on your data, in your apps.
Nothing to deploy. Nothing to maintain.
Actions
What GitHub + DeskFerry can do
Real GitHub actions your AI agent can perform automatically — no manual work required.
Accept a repository invitation
Accepts a pending repository invitation that has been issued to the authenticated user.
Add email for auth user
Adds one or more email addresses (which will be initially unverified) to the authenticated user's github account; use this to associate new emails, noting an email verified for another account will error, while an existing email for the current user is accepted.
Add app access restrictions
Replaces github app access restrictions for an existing protected branch; requires a json array of app slugs in the request body, where apps must be installed and have 'contents' write permissions.
Add a repository collaborator
Adds a github user as a repository collaborator, or updates their permission if already a collaborator; `permission` applies to organization-owned repositories (personal ones default to 'push' and ignore this field), and an invitation may be created or permissions updated directly.
Add a repository to an app installation
Adds a repository to a github app installation, granting the app access; requires authenticated user to have admin rights for the repository and access to the installation.
Add a selected repository to a user secret
Grants a specified repository access to an authenticated user's existing codespaces secret, enabling codespaces created for that repository to use the secret.
Add assignees to an issue
Adds or removes assignees for a github issue; changes are silently ignored if the authenticated user lacks push access to the repository.
Add labels to an issue
Adds labels (provided in the request body) to a repository issue; labels that do not already exist are created.
Add org runner labels
Adds new custom labels to an existing self-hosted runner for an organization; existing labels are not removed, and duplicates are not added.
Add or update team membership for a user
Adds a github user to a team or updates their role (member or maintainer), inviting them to the organization if not already a member; idempotent, returning current details if no change is made.
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 GitHub
Authorize GitHub and DeskFerry hooks into your issues, repos, and deployment pipelines.
Step 02
Configure Dev Workflows
Define triggers for GitHub events — new issues, PR merges, build failures — and the AI actions to take.
Step 03
Ship Faster with Less Toil
AI automates the tedious parts of your GitHub workflow. Track issues triaged, alerts handled, and developer time saved.
Start automating Document Review for GitHub
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
What ROI can I expect from automating Document Review with GitHub?
Teams automating Document Review through GitHub typically save 10-20 hours per week on manual processing. The ROI dashboard tracks time saved, tasks completed, and error reduction so you can quantify exactly what GitHub-powered Document Review automation delivers.
Can the GitHub Document Review agent also work with other tools in my stack?
Yes. The Document Review agent connected to GitHub simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single Document Review workflow can pull data from GitHub, process it, and push results to multiple destinations.
Do I need technical skills to connect GitHub for Document Review automation?
No coding required. The no-code builder walks you through connecting GitHub and configuring Document Review rules visually. Your team can set up, modify, and manage GitHub-based Document Review workflows without any developer involvement.
How does DeskFerry automate Document Review directly inside GitHub?
DeskFerry connects natively with GitHub to handle the full Document Review workflow. The AI agent monitors GitHub events, processes Document Review tasks automatically, and writes results back to GitHub — no copy-pasting or tab-switching required.
What types of documents can the Document Review agent review for GitHub?
The agent reviews contracts, leases, policies, regulatory filings, and the GitHub-specific documents your team handles daily — extracting key clauses, flagging non-standard terms, and surfacing risks against your standards library.
Explore more