1 to 2 Weeks
Typical launch window
Includes call handling rules, contact creation mapping, and automation trigger validation.
Reception, chatbots, and intake
MHSB Certified Smith.ai Partner - Partner-verified implementation support from MHSB.
SA Smith.ai
Let Smith.ai complete Lawmatics intake forms over the phone with your new clients (or via web chat). With Smith.ai and Lawmatics connected, you'll automatically see updates in your Lawmatics account: new contacts will be created and existing contacts will be updated after each call, complete with the post-call summary notes.
Certified build path
Data-safe rollout
Go-live support
Partner-grade
Implementation controls
Execution-ready
Rollout playbook
Implementation Proof
From kickoff through post-go-live support
Every Call
Logged and attributed
Smith.ai calls create or update Lawmatics contacts with intake details and call notes.
24/7
Intake coverage
After-hours and overflow calls are captured in Lawmatics without staff intervention.
"Smith.ai answers our after-hours calls and MHSB made sure every one of those calls creates a contact in Lawmatics with the right practice area tag. We stopped losing weekend leads entirely."
Need the right implementation path first?
MHSB does more than connect tools. We help law firms choose the right Lawmatics audit, build, and optimization sequence before configuration begins.
Book a Strategy Consultation
Review Smith.ai mapping, workflow impact, QA controls, and rollout priorities with MHSB.
Audit vs Build Guide
Choose whether your firm needs an audit, a scoped build, or a phased combination before implementation starts.
How MHSB Works
See our fixed-fee delivery model for audits, custom builds, QA, training, and launch support.
Lawmatics Implementation FAQ
Get answers on timelines, scope, training, integrations, and ongoing support.
What You Get With This Integration
- Generate new contacts in Lawmatics with Smith.ai using Lawmatics intake forms
- Integrate Lawmatics with Smith.ai's web chat
- Schedule appointments directly in your Lawmatics calendar using virtual receptionist
- Existing contacts are automatically updated with post-call summary notes, eliminating manual data entry for your intake team
- After-hours and overflow calls are captured and routed into Lawmatics so no potential client inquiry goes unrecorded
Integration Feature Details
Contact transferring
Whether from phone calls or web chats, Smith.ai virtual receptionist syncs seamlessly with Lawmatics to transfer over any new leads. While Smith.ai handles your intake, your pipeline stays up to date in Lawmatics.
Appointment scheduling
Using Lawmatics booking links or booking requests from within an intake form, the Smith.ai team can book a consultation or other meeting with your leads/clients, directly in your Lawmatics calendar.
Intake form completion
Smith.ai receptionists can walk callers through your Lawmatics custom intake forms during the call itself, collecting practice-area-specific details like incident dates, opposing party names, and case type classifications before the attorney ever picks up the phone.
Post-call automation triggers
Each completed Smith.ai call pushes structured data into Lawmatics that can trigger downstream automations. A new personal injury lead, for example, can automatically receive a welcome email, get assigned to the correct intake coordinator, and appear on the PI pipeline board without anyone on your team lifting a finger.
Partner Implementation Blueprint
Estimated timeline: 1 to 2 weeks for most firms. Firms with multiple practice areas requiring separate intake forms and distinct call handling scripts may need 3 weeks to finalize form design, receptionist instructions, and automation testing.
- 1
Connect your Smith.ai account to Lawmatics by navigating to Integrations in Lawmatics and authorizing the Smith.ai connection. Confirm that the API key is active and that Smith.ai shows as connected in your Lawmatics dashboard.
- 2
Build or refine your Lawmatics custom intake forms to include the qualifying questions Smith.ai receptionists should ask. MHSB helps you design forms with clear field labels and logical question flow so that receptionists can complete them naturally during a phone conversation, not just on a screen.
- 3
Share the intake form links with Smith.ai and provide written call handling instructions that specify how to greet callers, which questions to ask for each practice area, and when to transfer a call live versus take a message. MHSB drafts these instructions based on your firm's intake workflow.
- 4
Configure Lawmatics automations that fire when a new Smith.ai matter is created. Typical triggers include sending a welcome email to the prospect, assigning the matter to a pipeline stage, notifying the responsible attorney, and creating follow-up tasks for the intake coordinator.
- 5
Run a two-week live test where MHSB monitors incoming Smith.ai matters daily to verify that form data is mapping correctly, automations are firing, appointments are landing on the right calendars, and no leads are falling through the cracks. Adjustments are made in real time during this period.
QA Checklist
- New calls handled by Smith.ai create a matter in Lawmatics with the correct contact information, practice area tags, and completed intake form fields within minutes of call completion.
- Repeat callers are matched to their existing Lawmatics contact by phone number or email, updating the existing record rather than creating a duplicate.
- Appointments booked by Smith.ai appear on the correct attorney's Lawmatics calendar with the prospect's name, phone number, and reason for the consultation.
- Post-call automations fire as expected: welcome emails are sent, pipeline stages are assigned, intake coordinator tasks are created, and the matter activity timeline reflects each step.
Common Handoff Risks
- Intake form design is the most common point of failure. If your Lawmatics custom form has ambiguous field labels, conditional logic that confuses receptionists, or too many open-ended text fields, Smith.ai agents will struggle to complete it accurately during a live call. MHSB reviews every form for receptionist usability before go-live and simplifies field types where possible.
- Call handling instructions that are vague or outdated lead to inconsistent intake. If Smith.ai does not know which practice area a caller falls under, or which questions to skip for returning clients, the data in Lawmatics will be incomplete or misrouted. MHSB writes detailed, practice-area-specific scripts and updates them as your firm's services change.
- Automation misfires can create a poor first impression. A welcome email that references the wrong practice area, or a task assigned to an attorney who no longer handles that case type, erodes the professionalism you are paying Smith.ai to project. MHSB tests every automation path with sample data before enabling them in production.
When This Integration Is the Right Fit
- A personal injury firm uses Smith.ai to answer after-hours calls from accident victims. Smith.ai completes the Lawmatics intake form over the phone, capturing incident date, injury type, and insurance details. By morning, the intake coordinator finds the new matter in the PI pipeline with all qualifying information already filled in, ready for attorney review.
- A family law practice routes overflow calls to Smith.ai during peak hours when the front desk is already on the line. Smith.ai identifies whether the caller needs help with divorce, custody, or a modification, fills out the corresponding Lawmatics intake form, and books a consultation on the attorney's Lawmatics calendar. The caller never knows they spoke to an outside service.
- An immigration firm with multilingual clients uses Smith.ai's bilingual receptionists to handle Spanish-language calls. Smith.ai collects visa type, current status, and urgency level through the firm's Lawmatics custom form, then the matter is routed to the correct attorney based on practice area tags in Lawmatics.
- A criminal defense solo practitioner forwards calls to Smith.ai on weekends. When a prospective client calls about a DUI arrest, Smith.ai captures the arrest date, charges, and court date through the Lawmatics form, then immediately triggers a Lawmatics automation that sends the firm's criminal defense retainer packet and books a Monday morning callback.
How This Fits into a Lawmatics Implementation Plan
A strong Smith.ai integration only works when field mapping, workflow ownership, QA, and team training are designed together. MHSB typically scopes this work as part of a Lawmatics audit, implementation project, or post-launch optimization engagement.
MHSB Integration Notes
MHSB Implementation Perspective
Smith.ai is one of the most full-featured virtual receptionist services available to law firms, and its Lawmatics integration is among the deepest in the answering service category. Where most answering services simply push a contact name and phone number into your CRM, Smith.ai can complete your actual Lawmatics intake forms during the call, book consultations on your Lawmatics calendar, and update existing contacts when someone calls back. That depth is also what makes proper configuration critical. A poorly set up Smith.ai integration creates messy data faster than a well-configured one creates clean data.
MHSB approaches the Smith.ai implementation as a workflow design project, not just a technical connection. The API hookup takes minutes. The real work is designing intake forms that a human receptionist can complete naturally over the phone, writing call handling scripts that cover every practice area your firm serves, and building Lawmatics automations that act on the data Smith.ai sends in. When those three pieces are aligned, your intake pipeline runs whether your office is open or closed, whether your front desk is available or swamped.
During the two-week testing phase, MHSB reviews every matter Smith.ai creates to verify that form fields are populated correctly, that returning callers are matched to existing records, and that automations fire without errors. We catch problems like ambiguous form fields that produce inconsistent data, missing automation triggers, and calendar booking conflicts before they become patterns.
Source-Aligned Overview
Let Smith.ai complete Lawmatics intake forms over the phone with your new clients (or via web chat). With Smith.ai and Lawmatics connected, you’ll automatically see updates in your Lawmatics account: new contacts will be created and existing contacts will be updated after each call, complete with the post-call summary notes.
Supplemental Guidance
Smith.ai provides both phone answering and chat services, making it easy to capture leads and ensure no potential client is missed. With the integration between Smith.ai and Lawmatics, new leads are automatically pushed into your Lawmatics account, allowing you to manage and streamline your intake process. This guide will walk you through how to set up the integration and ensure your leads flow seamlessly into Lawmatics for further action.
The key differentiator of Smith.ai within the Lawmatics ecosystem is its ability to complete custom intake forms during live calls. This means the data that arrives in Lawmatics is not just a name and number; it includes practice-area-specific qualifying details that your intake coordinator would normally have to collect in a follow-up call. For firms that track speed-to-contact as a KPI, this collapses two steps into one and gets the attorney involved sooner.
Setup Focus
Common setup path from supplemental documentation: Connecting Smith.ai for Phone Answering; Connecting Smith.ai for Chat. Key configuration decisions include designing receptionist-friendly intake forms, writing practice-area call scripts, and mapping Smith.ai matter creation to Lawmatics pipeline stages and automation triggers.
Integration FAQ
Can Smith.ai handle calls for multiple practice areas and route them differently in Lawmatics?
Yes. Smith.ai can ask qualifying questions to determine the practice area and then complete the corresponding Lawmatics intake form. MHSB sets up practice-area-specific forms and call scripts so that a personal injury caller gets different questions than a family law caller, and each ends up on the correct pipeline in Lawmatics.
Will Smith.ai update an existing contact in Lawmatics if someone calls back?
Yes. Smith.ai searches Lawmatics by phone number and email before creating a new record. If a match is found, the existing contact is updated with the new call summary notes rather than creating a duplicate. MHSB verifies this matching logic during testing to ensure your database stays clean.
Do we need a separate Smith.ai plan for phone and chat, or does one plan cover both?
Smith.ai offers phone receptionist and web chat as separate services, each with its own pricing. Both integrate with Lawmatics independently. Many firms start with phone answering and add chat later. MHSB configures each channel's connection to Lawmatics as part of the implementation.
What happens to calls that Smith.ai cannot qualify or that fall outside our practice areas?
MHSB works with you to define rejection criteria in your Smith.ai call scripts. Unqualified callers can be politely declined with a referral suggestion, and the call is still logged in Lawmatics as a non-qualifying contact so you have a record and can track rejection rates over time.
Can we use Smith.ai data to trigger different Lawmatics automations based on call outcome?
Absolutely. Because Smith.ai populates structured form fields in Lawmatics, you can build automation rules that branch based on practice area, urgency level, or any other field the receptionist fills in. MHSB helps you design these conditional automations so that a high-urgency criminal defense lead triggers an immediate attorney notification while a general inquiry enters a standard nurture sequence.
How does Smith.ai compare to hiring a full-time in-house receptionist?
Smith.ai provides coverage during hours when a single receptionist cannot be available: evenings, weekends, holidays, lunch breaks, and when your front desk is already on another call. The Lawmatics integration means you get the same structured intake data regardless of who answers the phone. Most firms use Smith.ai to supplement their in-house team rather than replace it, and MHSB configures the handoff rules between the two so nothing falls through.
Implementation Packages
Choose Your Smith.ai Implementation Path
MHSB can execute this integration as a focused sprint, a production hardening engagement, or a full operating-system rollout.
Smith.ai Launch Sprint
Call handling configuration, contact creation mapping, tag assignment rules, and automation trigger testing.
Ideal for: Firms adding Smith.ai virtual receptionist to their Lawmatics intake pipeline.
Most Selected
Smith.ai Scale Hardening
Multi-practice call routing, overflow vs. after-hours differentiation, and intake automation expansion.
Ideal for: Growing firms with complex call routing needs across practice areas.
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Next Step
Launch Smith.ai in Your Lawmatics Workflow
Get MHSB support to configure mapping, automations, and data quality checks for your integration rollout.