AI Agent for Document Review — Built for GitHub
Automate Document Review for teams using GitHub. Arahi AI 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.
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 ticket and classify the topic
- 2Pull the customer's plan, history, and SLA
- 3Draft a response in your support team's voice
- 4Resolve directly or hand off with full context
Get started in three steps
Connect GitHub
Authorize GitHub and Arahi AI hooks into your issues, repos, and deployment pipelines.
Configure Dev Workflows
Define triggers for GitHub events — new issues, PR merges, build failures — and the AI actions to take.
Ship Faster with Less Toil
AI automates the tedious parts of your GitHub workflow. Track issues triaged, alerts handled, and developer time saved.
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.
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.
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.
Frequently asked questions
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.
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.
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.
Arahi AI 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.
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.
Yes. You configure standard clauses, acceptable variations, and red-flag language specific to github. The agent applies these standards consistently across every document — eliminating the variance that comes from different reviewers with different opinions.
Manual document review in GitHub requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling document review tasks in real-time as GitHub events occur — running 24/7 with consistent accuracy and zero fatigue.
When the AI hits an edge case during document review processing in GitHub, it escalates to your team with full context — the GitHub record, what was attempted, and why it needs review. Your document review pipeline never stalls or loses data.
Yes. You can run document review workflows in test mode using sample GitHub data before activating on live records. This lets you verify every document review rule works correctly with your GitHub setup before processing real data.
The dashboard shows document review-specific metrics for your GitHub integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how GitHub-triggered document review workflows perform over time.
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