Compare six things: the job the AI actually does (scoring, follow-up, forms or calls), whether intake sits inside your case system or syncs to it, where the conflict check runs, what a person approves before anything is sent, how pricing is built, and what leaves with you if you quit. Then run the same 20 test enquiries through each tool.
A feature list hides the differences. Lawmatics' Merlin add-ons (Qualify, Engage, Copilot) score leads and talk to them. Smokeball Intake, an add-on on its Boost and Grow plans and included in Prosper+, uses AI to build forms and autofill them from client documents. Both say "AI intake", and they do different jobs. This tutorial uses them as worked examples of a grid you can apply to any product, with no prices beyond what the vendors publish.
Name the intake job before you look at features
Intake is five jobs that vendors bundle under one word. Decide which of them is costing you clients, because the product that fixes one may do nothing for another. A firm losing leads at 8 pm needs fast first contact. A firm losing time to re-keying needs better forms. A firm drowning in poor-fit enquiries needs scoring.
| Job | What the problem looks like | What these two vendors offer | How to test it |
|---|---|---|---|
| Capture and route | Enquiries sit in an inbox or voicemail overnight | Both offer website forms and a lead pipeline. Lawmatics lists call-handling services such as Smith.ai and LEX Reception that push leads in | Time from submission to first human or automatic reply |
| Score and prioritise | Staff spend hours on enquiries that never fit | Lawmatics Merlin Qualify scores each lead and gives reasoning. Smokeball's pages describe no scoring | Back-test on past leads |
| Follow up | Hot leads go cold waiting for a callback | Merlin Engage converses by text or email. Smokeball describes workflows that assign follow-up tasks | Count follow-ups sent and replies received |
| Collect information | Clients send half-filled forms and documents | Smokeball: AI builds forms and autofills fields from uploaded documents, with voice-guided multilingual completion. Lawmatics: custom forms, with Qualify reading form fields | Fill-in rate and re-keying minutes per lead |
| Assist staff | Reports and automations wait on one specialist | Merlin Copilot answers questions and builds automations. Smokeball sells Archie AI as a separate add-on | Questions with answers you already know |
Notice how little overlap there is. If your pain is information collection, Smokeball's form tools address it directly, while Lawmatics' AI sits mostly around scoring and conversation. If your pain is lead response, the reverse is true. A tool that does well on a job you do not have is not a bargain. For a deeper look at the Lawmatics side, including pricing structure and a test plan, read the Merlin add-ons tutorial.
One system or two: where intake lives
The second question is architectural. Lawmatics is an intake and marketing CRM that hands matter data to your practice-management tool when a lead converts, and its pages list syncs to Clio, MyCase, Filevine, Smokeball, LEAP, PracticePanther and SmartAdvocate. Smokeball puts intake and lead management inside its own platform, and its lead page says there is "no separate CRM to sync or switch to". Neither design is better in general. They fail differently.
Two systems give you a better specialist tool and a sync that can break. After conversion, check that contacts, notes, documents and the engagement agreement land in the case system, and that edits made on one side do not silently overwrite the other. One system gives you fewer seams and a smaller choice of intake features. Ask what happens to your leads if you later change practice-management software: in the first design you keep the CRM, in the second you may be rebuilding intake too.
The plan structure also differs. On Smokeball, Intake is an add-on on Boost and Grow and included on Prosper+, which also carries lead management, inquiry intake and advanced matter intake. A three-lawyer firm already on Grow therefore chooses between adding the Intake add-on and moving to Prosper+. On Lawmatics, Essential and Premium both carry a three-user minimum, Essential is capped at ten automations against unlimited on Premium, and the Merlin add-ons are priced separately. Compare firm-level totals, not plan names, and use the Lawmatics and Clio Grow comparison if a third candidate is in play.

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Buy nowWhere the conflict check sits, and how it fails quietly
Intake software makes a firm faster, and faster is exactly when a conflict slips through. The conflict check is therefore a design question, not a feature tick. Draw the order of steps for your firm and ask each vendor to show it working. A safe order puts the search before any score-triggered action that commits the firm, such as sending an engagement agreement or booking a long consultation.
| Step | Who or what does it | Failure to test for |
|---|---|---|
| 1. Enquiry arrives by form, call or chat | Intake software or a call-handling service | Enquiry lands without a name or email |
| 2. Conflict search runs | Software, with a person reviewing any hit | The search silently skips or misses a match |
| 3. Lead is scored or sorted | AI recommendation | A wrong Reject or Refer Out |
| 4. A person approves the next step | Intake lead or lawyer | Approval bypassed by an automation |
| 5. Engagement agreement goes out | Software, after approval | Sent before step 2 is cleared |
| 6. Matter opens in the case system | Sync or native conversion | Conflict result missing from the matter record |
Lawmatics documents its conflict checking in detail, which makes the quiet failures easy to name. A check can run by hand or as a "Run Conflict Check" action inside an automation, and it searches fields, notes and records across your matters using Exact Match or Contains. Its help article contains four details that matter for a small firm.
- A lead must already exist as a matter before it can be checked, so a conflict search before record creation is not possible.
- In an automation, a search built from several terms registers a match only when all the terms are found together in a matter. A search on name plus email will miss an earlier matter that has the name but a different email.
- If the search term is blank, for instance when no email was entered, the "Skip When Blank Search" option moves the automation on without checking. Without that option the matter pauses instead.
- "Auto Approve" marks a check Approved when no possible conflicts are found, with no one reviewing it. Without it, the result defaults to Possible Conflict until a person decides.
None of these is a defect. Each is a setting you choose, and the wrong combination turns a safeguard into a rubber stamp. A sensible small-firm configuration searches on name alone first, never skips on blank, and routes every hit to a lawyer. Lawmatics also reports advanced conflict checking on Premium and basic checking on Essential, so confirm which one your plan gives you. For Smokeball, the intake and lead-management pages I read do not mention conflict checks at all. That does not mean the capability is missing, only that you should ask where it runs, what it searches and whether the result is logged on the matter. The tutorial on conflict-check software covers dedicated tools if neither fits.
A realistic test uses a fictional opposing party. Add a closed matter with that name, then submit an enquiry that mentions the same party by name only, and a second that gives the name with a different email. Record whether each is caught, how long it takes and who is notified. Three outcomes are possible: caught, missed, or caught late. Only the first is acceptable.
Pricing nobody publishes: work backwards from results
Neither vendor shows plan prices on its pricing page. Lawmatics says "Get a demo" or "Contact Sales", and Smokeball says its price depends on users, plan, contract term and optional products. The structure is visible even when the figures are not. Lawmatics layers plans by users and contacts, then charges its AI add-ons separately, by outcome for Qualify and Engage and by seat for Copilot. Smokeball layers four plans (Bill, Boost, Grow and Prosper+), then sells Intake as an add-on on Boost and Grow and Archie AI as an add-on from Boost upwards. The Merlin tutorial above sets out how the AI add-ons are billed.
Instead of comparing quotes against each other, compare each quote against what the tool must earn. Here is a worked example with assumptions you should replace. A three-lawyer firm gets 90 enquiries a month and signs 20% of them, which is 18 clients. Suppose faster replies and better sorting lift that to 22%. That is 1.8 extra clients a month. At an average fee of $2,500, the extra fees are $4,500 a month. If you will spend a quarter of the gain, the ceiling for the whole bundle of plan upgrade, AI add-ons and extra seats is $1,125 a month.
Now stress the sum. A lift of one point rather than two gives 0.9 extra clients, $2,250 of fees and a ceiling of about $560. A lift of zero gives a ceiling of nothing, which is the right price for a tool that changes nothing. The point of the sum is to decide, before a salesperson speaks, how much improvement you would have to believe in to accept each quote, and to ask the vendor which lift it expects for a firm like yours. If the quote exceeds your ceiling, the 20-enquiry test below is what tells you whether to believe the vendor over your own assumption.
Ask for line items rather than a bundle: base plan, user count and minimum, contacts included, each AI add-on and its unit, any onboarding fee, the contract term and the renewal increase. Ask what happens to the price if your enquiries double, because outcome-based and per-contact pricing both move with volume. Ask whether an add-on can be dropped mid-term. The two-week trial scorecard helps you record cost beside accuracy and privacy so the comparison stays honest.
Run the same 20 enquiries through every shortlisted tool
This is the part of the comparison that no feature list can replace. Write 20 realistic enquiries, load them into a trial or sandbox of each tool the same way, and score the results on a sheet. Keep the set mixed so a tool cannot pass by being good at one kind.
- Eight good-fit enquiries in your main practice areas, with complete details.
- Four poor-fit enquiries, for instance outside your areas or below your minimum value.
- Four ambiguous enquiries with missing facts, to test follow-up questions.
- Two conflict enquiries naming a party that sits in a closed matter.
- Two urgent or sensitive enquiries, such as a deadline this week or a distressed caller, to test hand-offs to a person.
Score each tool on time to first reply, correct routing, conflicts caught, whether a person approved the right steps, and whether the data reached the matter record without re-keying. Here is an illustrative score sheet for two anonymous tools.
| Measure | Tool A | Tool B |
|---|---|---|
| Median time to first reply | 2 minutes | 3 hours 10 minutes |
| Correct routing (of 20) | 17 | 19 |
| Conflicts caught (of 2) | 1 | 2 |
| Poor-fit leads wrongly rejected as good-fit | 0 | 1 |
| Urgent cases reaching a person within 15 minutes (of 2) | 2 | 1 |
| Fields needing re-keying after conversion | 3 per lead | 0 |
Read it as a decision, not a ranking. Tool A answers fast but caught one of two conflicts, which is disqualifying until fixed. Tool B answers slowly because it waits for a human, but it caught both conflicts and needs no re-keying. Whether that makes B the winner depends on whether you can staff the first-reply gap, which loops back to the sum above: speed is worth money only if it changes who signs.
Which design suits which firm
The three-lawyer firm already on Smokeball Grow. The AI you most need is probably in forms and autofill, which Smokeball's Intake covers, not in scoring. The decision is between the Intake add-on and the move to Prosper+, and the comparison that matters is the firm-level total of each against your ceiling. Lawmatics would add a second system for a job Smokeball may already do.
The firm on a separate case system with heavy online advertising. If leads arrive from paid search and you pay for each one, scoring and fast follow-up address your real cost per signed client. A dedicated intake CRM with a sync, such as Lawmatics, fits this profile, provided the 20-enquiry test shows the sync and the conflict step behaving. The comparison with Clio Grow linked earlier is the natural next read.
The solo lawyer with fifteen enquiries a month. Run the ceiling sum: a two-point lift on 15 enquiries is 0.3 clients, worth $600 a month at a $2,000 fee, and a quarter of that is $150. That is below the likely cost of any scoring add-on, so the sensible stack is a good form, a calendar link, a conflict check and perhaps a receptionist service. Revisit the sum if volume triples.
Integrations worth checking, and what to ask about each
A list of logos proves little. What matters is direction, trigger and what travels. Lawmatics' pages describe, for example, matter data syncing to a case system "upon lead conversion", new leads and contacts transferring in from Smith.ai and LEX Reception, forms syncing in from DecisionVault, marketing source tracking through CallRail, Google Ads data logged against leads, appointments made as Zoom meetings, and calendar sync with Gmail and Outlook. Smokeball's intake pages point to an integrations marketplace without naming specific integrations, so ask for the list that applies to intake rather than assuming one.
For each integration you depend on, ask four questions. Is it one-way or two-way? What event triggers it? Which fields travel, and do documents and notes travel with them? What happens when a record already exists, as with a returning client? Then test with one of your 20 enquiries per integration. A call-handling service that creates a lead without a phone number, or a sync that duplicates an existing contact, will cost you more in cleanup than the integration saves. If a receptionist service is part of your plan, the call-handling comparison sets out how the main options differ.
Human control: what happens before anything reaches a client
The more an intake tool acts for you, the more its approval settings matter. Lawmatics' Merlin Engage starts in manual review, where each drafted message waits for a supervisor, and it offers an autopilot mode once you trust it. Qualify shows its reasoning and confidence for each score, and you can give feedback that refines the criteria. For Smokeball, I could not find the equivalent statement on the intake pages, so ask whether AI-built forms and autofilled fields are reviewed by a person before a client sees them.
Whatever the tool, write down four rules before launch. A person approves any message that offers advice, a fee or a commitment. A person sends every decline. A person reviews every possible conflict. A person can stop automated outreach at once. Then check that the tool can enforce each rule rather than merely suggest it. The tutorial on AI client intake for law firms covers the out-of-hours case in more detail.
Five ways small firms choose badly
Buying the AI before the base plan fits. A firm adds scoring to a plan that caps automations or contacts, then runs into the cap within a month. Count your contacts, users and automations first, and see which plan tier they push you into.
Letting a score trigger an engagement agreement. A Chase Hard score sends a retainer before the conflict check has run. The AI did what it was told. The process was wrong. Put the conflict result and a human approval ahead of any agreement.
Believing "coming soon" labels are live. Vendor navigation and help pages can disagree about what is available. Ask for the live feature list in writing, with the channels, and test it in a trial.
Comparing quotes without the ceiling. Without a number for what the tool must earn, the cheapest quote looks best and the most expensive looks reckless. Do the sum first.
Ignoring the exit. After a year, leads, conversation logs and scores live in the vendor's system. Ask how you export them, in which format and how quickly, and whether the vendor deletes your data afterwards. A tool you cannot leave is priced differently from one you can.
Choosing legal intake software: common questions
What is the difference between Lawmatics and Smokeball for intake?
Lawmatics is an intake CRM whose Merlin add-ons score leads and message them, and it syncs matter data to your practice-management system when a lead converts. Smokeball Intake sits inside Smokeball, as an add-on on Boost and Grow and included in Prosper+, and its AI mainly builds and autofills forms.
Can legal intake software run the conflict check automatically?
Some can. Lawmatics runs a conflict check as an automation action, but a lead must already exist as a matter, and a search that combines a name and an email only matches when both appear together. Whatever you choose, send every possible conflict to a person before an engagement agreement goes out.
Should intake software reject leads automatically?
Not at first. Scores and categories are recommendations, and the costly error is turning away a paying client. Keep a person on every reject and refer-out for the first month, and send decline letters by hand. Automate steps where a wrong call is cheap, such as acknowledgements and form reminders.
How do we price intake software when nobody publishes prices?
Work backwards from results. Multiply monthly enquiries by the improvement in signing rate you expect, multiply by your average fee, and decide what share you will spend, say a quarter. That figure is your ceiling for the whole bundle of plan, add-ons and seats, and a quote above it is a no.
Further reads
- Best AI Platform for Law Firms: Clio, Smokeball and Lawmatics Compared — Clio, Smokeball and Lawmatics compared as platforms.
- Personal Injury Lawyer Chatbot: Intake Questions, Limits and Cost — Chatbot intake limits and cost for injury practices.
- Family Law Client Intake: An AI Questionnaire and Urgency Triage — An AI questionnaire and urgency triage for family matters.
- AI Voice Agent for Lawyers: Cost and Safe Handling of Intake Calls — Cost and safe handling when AI answers intake calls.
- AI Receptionist for Law Firms: Cost and What It Must Never Say — What an AI receptionist costs and must never say.
- Best AI for Solo Lawyers: A Stack That Fits One Person — Assistant, practice-management AI and contract tool for one lawyer: three priced stacks from $120 to $275 a month, and what to leave out.
- Best Legal AI for Criminal Law: A Small Defence Firm's Shortlist — Which AI to use for bodycam transcripts, research, drafting and intake in a small defence practice, with list prices and a vendor data questionnaire.
- Gavel Pricing: Which Workflows Plan a Small Firm Needs — Gavel Workflows from $83 to Scale at $417 a month, matched to a small firm's seats, templates and integrations, with break-even sums and a 7-day trial plan.
- Live Receptionist for a Small Law Firm: Cost and When AI Fits — What a live receptionist costs a small law firm against an in-house hire or AI, with plan prices, an intake script and an out-of-hours handover.
- Smokeball Pricing: What Bill, Boost, Grow and Prosper+ Include — Smokeball is quote-only. What Bill, Boost, Grow and Prosper+ include, which small firm each fits, and what to ask about onboarding and contract length.
- Family Law AI Software: What a Small Practice Should Check Before Buying — A scored checklist for a small family practice buying AI software: confidentiality, data location, conduct rules, citation checks and exit terms.
- AI Tools and AI Development: The Complete 2026 Guide — the AI hub, including every tutorial in the AI-for-business series.
Sources: Lawmatics pricing page, AI pages and help centre (conflict checking, Merlin); Smokeball pricing page and intake, lead management and client-onboarding pages (all read 1 November 2026 and rechecked 4 November 2026).