Law firm intake is where you either win a client or lose them to a faster competitor. Conflict checks are where you either protect the firm—or introduce risk you only discover months later. This playbook shows you how to design an orchestrated AI agent system that handles intake and conflict checks end-to-end, while attorneys stay in control.
✔️ Managing partners and operations leaders at law firms (10–300 attorneys)
✔️ Innovation / knowledge management teams inside larger firms
✔️ Legal ops leaders in corporate legal departments who want to streamline outside counsel intake
If your team is:
✔️ Missing high-value matters because you respond too slowly
✔️ Drowning in intake emails, voicemail, and webform submissions
✔️ Nervous that a missed conflict could create serious exposure
…this is for you.
Most firms still handle intake like this:
✔️ Prospective client calls or fills out a form.
✔️ A receptionist or intake team member tries to capture the facts.
✔️ Someone manually checks for conflicts against your case management system.
✔️ Someone decides whether this is a fit and emails or calls the client back.
✔️ The client waits 4–24 hours for a response—often longer on nights and weekends.
Meanwhile:
✔️ Prospects are contacting 2–3 other firms.
✔️ Your attorneys are busy and slow to respond.
✔️ Conflicts are checked inconsistently under time pressure.
An orchestrated AI agent system should:
✔️ Respond to new inquiries within 5 minutes, 24/7
✔️ Increase conversion from inquiry → signed retainer by 30–45%
✔️ Reduce manual intake hours by 70–90%
✔️ Standardize conflict checks with audit trails and clear escalations
✔️ Keep attorneys in control of final decisions
Here’s the end-to-end workflow we’ll design:
Intake Capture: AI agent responds to calls, webforms, and emails.
Qualification & Routing: Scores matter by type, urgency, and potential value.
Conflict Check: Runs names/entities against your conflict database.
Attorney Review & Decision: Packages all context into a concise “Intake Brief.”
Client Communication & Onboarding: Sends next-step communication (schedule consult, send retainer, or decline with referral).
The key: multiple agents working together—not one chatbot trying to do everything.
We typically design 4–5 coordinated agents for this workflow.
Goal: Capture complete, structured matter information while feeling conversational and human.
Channels: web chat, embedded form, phone (via voice), email replies.
Responsibilities:
Goal: Decide if this matter should move forward and where it should go.
Responsibilities:
Goal: Run a first-pass conflict check and surface anything that needs human review.
Responsibilities:
Goal: Tie everything together and ensure nothing falls through the cracks.
Responsibilities:
Goal: Handle client-facing communication after decisions.
Responsibilities:
Below are simplified examples you can adapt. In production, you’d turn these into system prompts / instruction blocks for each agent.
You are an Intake Agent for a law firm. Your job is to gather all information needed for an attorney to assess a new matter.
Requirements:
You are a Qualification Agent for a law firm. You receive structured intake data about potential matters.
Your goals:
You are a Conflict Check Agent for a law firm. You receive client and party names and have access to a conflict database via a tool.
Your tasks:
You are a Coordination Agent for a law firm. You orchestrate intake, qualification, and conflict check results into a single “Intake Brief” and route it correctly.
Your responsibilities:
You can implement this with different vendors; the pattern stays similar:
Core LLM / Agent Platform
OpenAI, Azure AI Agents, or similar agent frameworks.
Law Firm Systems
Case/matter management (Clio, Litify, PracticePanther, custom).
CRM (HubSpot, Salesforce, etc.).
Document management (NetDocuments, iManage, SharePoint).
Integration Layer
Zapier, Make, n8n, or custom integrations.
Communication Channels
Web chat widget, phone/IVR integration, email ingestion.
The key isn’t the specific tool—it’s the orchestration pattern and how the agents coordinate and escalate.
Because this playbook touches conflicts and client intake, governance matters.
Intake Agent must:
Log:
This supports:
When you implement this system, track:
Response Time
Conversion Rate
Manual Hours
Conflict Miss Rate / Near Misses
SLA Compliance
✔️ Managing partners and operations leaders at law firms (10–300 attorneys)
✔️ Innovation / knowledge management teams inside larger firms
✔️ Legal ops leaders in corporate legal departments who want to streamline outside counsel intake
If your team is:
✔️ Missing high-value matters because you respond too slowly
✔️ Drowning in intake emails, voicemail, and webform submissions
✔️ Nervous that a missed conflict could create serious exposure
…this is for you.
You can use this playbook as a roadmap to build your own system. But if you:
…then it often pays to bring in a team that has already done this before.
This playbook is based on the patterns we use when deploying AI intake and conflict systems for law firms.
If you’d like:
You can: