Arahi AI

Q: Can I customize which SilFer Bots events trigger legal automations?

Yes. You define exactly which SilFer Bots events start legal workflows — new records, status changes, form submissions, or custom triggers. Each trigger can have conditions so legal actions only fire when your specific SilFer Bots criteria are met.

Q: How does SilFer Bots integrate with Arahi AI for legal businesses?

Arahi AI connects directly to SilFer Bots to automate workflows specific to legal. Data flows in real-time between SilFer Bots and the AI agent, tasks trigger automatically based on legal events, and your team saves hours of manual processing every week.

Q: Can I connect SilFer Bots with other tools in my legal tech stack?

Yes. Arahi AI supports 1,500+ integrations, so your legal workflows can span SilFer Bots and every other tool in your stack. A single automation can pull legal data from SilFer Bots , process it, and push results to CRMs, databases, or communication platforms.

Q: Can I test the SilFer Bots integration with my legal data before going live?

Yes. You can run legal workflows in test mode using sample SilFer Bots data before activating on live records. This lets you verify every automation rule works correctly with your legal processes before it touches real SilFer Bots data.

Q: How does SilFer Bots with Arahi AI help Legal teams handle contract review that eats associate hours without adding value?

Arahi AI uses SilFer Bots as a structured surface for the operational work behind contract review that eats associate hours without adding value. Instead of your legal team coordinating manually, the agent listens for the right SilFer Bots events, takes the next action, and escalates only when judgment is required — turning a recurring drain into a measurable workflow.

Q: What Legal workflows can a SilFer Bots agent automate end-to-end?

For legal teams, the highest-leverage automations on top of SilFer Bots target intake and conflict checks that delay engagement letters and the routine SilFer Bots -mediated work that surrounds it. An Arahi AI agent runs those flows continuously, captures the audit trail in SilFer Bots , and frees your team to focus on the cases that actually need human attention.

Q: Can I modify my SilFer Bots automation rules for legal after setup?

Yes. You can adjust your legal workflow rules for SilFer Bots anytime through the no-code builder. Add new triggers, change conditions, update routing logic, or expand to additional SilFer Bots -powered legal automations — all without developer help.

Q: How does Arahi AI keep legal data secure when using SilFer Bots ?

All data exchanged between SilFer Bots and Arahi AI during legal processing is encrypted in transit and at rest. We use OAuth for SilFer Bots access, maintain complete audit trails, and follow enterprise-grade security practices for legal compliance.

Q: Do I need technical skills to connect SilFer Bots for my legal operations?

No coding required. The no-code builder walks you through connecting SilFer Bots and configuring legal-specific automation rules visually. Your legal team can set up and manage SilFer Bots workflows without any developer involvement.

Q: What happens when the AI encounters an edge case in my legal SilFer Bots workflow?

When the AI hits a scenario outside its configured rules for your legal workflow in SilFer Bots , it escalates to your team with full context — the SilFer Bots record, what was attempted, and why it needs review. Your legal pipeline never stalls.

AI Agent for Legal Teams Using SilFer Bots

Connect SilFer Bots to Arahi AI and automate your most time-consuming Legal workflows — no coding required.

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Have @SilFer Bots read inbound contracts, flag deviations from our standard terms, and write a redline-ready memo for the partner.

Working

Contract reviewed. Risk memo queued for partner sign-off:

Doc · NDA-Acme-v4.docx · Acme HoldingsRisk · Med

Customer

“Counterparty sent their NDA — please review before tomorrow's call. We're hoping to sign this week.”

Agent draft · in your tone

Reviewed. Three deviations from our template: (1) non-mutual confidentiality — recommend pushing to mutual; (2) 5-yr survival clause is unusually long, propose 3-yr; (3) governing-law NY vs. our standard DE — discuss with client. Redline + memo attached for partner review.

Memo savedPartner pingedDue tomorrow 10 AM

Faster

Review Speed

document review

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.

Your instruction

“Have @SilFer Bots read inbound contracts, flag deviations from our standard terms, and write a redline-ready memo for the partner.”

What the agent will do

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

Touches

How it works

Get started in three steps

Step 01

Connect SilFer Bots

Add SilFer Bots to your Arahi AI workspace in seconds. The AI immediately starts listening for messages and events.

Step 02

Configure Message Workflows

Choose which SilFer Bots channels, threads, or DMs trigger AI actions — and what happens next. For legal teams, this typically means routing workflows from tools like Clio alongside SilFer Bots .

Step 03

Automate & Stay in the Loop

The AI handles routine messages and tasks in SilFer Bots while escalating anything that needs your attention.

Review queue

3 pending

Ticket reply · Doc · NDA-Acme-v4.docx · Acme Holdingsjust now

Ticket reply · routine refund2 min ago

Customer reports a duplicate charge; refund queued, awaiting confirmation.

Ticket reply · plan question5 min ago

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.

Activity log

Last 30 minutes

Acme Holdings9:14 AM
Customer marked the resolution as helpful.
Agent9:12 AM
Sent reply on ticket Doc · NDA-Acme-v4.docx.
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 · NDA-Acme-v4.docx as the matching topic.

FAQ

Frequently asked questions

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