The CRM that treats a matter like a matter, not a sales deal.
Law practice is intake driven, conflict aware, matter organized, and privilege sensitive. Strkr ships a CRM shaped around matters, conflicts, engagement letters, and billable context with AI drafting that respects attorney-client privilege.
A general CRM assumes a clean linear funnel from prospect to closed-won. A lawyer caseload does not look like a funnel. Clients come in through referrals, in-person consultations, and inbound forms. Matters move through gates that are not sales stages: intake, conflict check, engagement signing, active work, billing, resolution. The pain points below are what Strkr onboarding hears on every call with a solo practitioner, boutique, or mid-size firm looking to replace a tangle of Google Sheets, Clio Grow, or an aging Lawmatics install.
Matter versus deal
The pipeline stage does not fit the matter lifecycle.
A legal matter has gates: intake, conflict clear, engagement signed, retainer paid, active work, billing, resolution. These are not pipeline stages. A sales CRM forces lawyers to shoehorn matter work into deal stages, which breaks reporting and makes the handoff from intake to attorney feel like data entry. Strkr models matter as a first-class object with lifecycle gates, matter type, fee structure, and primary attorney.
Conflict check drain
Hours lost on manual conflict checks every week.
Partners spend 2 to 6 hours a week on manual conflict checks against the firm history. A solo lawyer with a 400-client book spends about 90 minutes per week. Strkr runs an automated conflict check against the full matter history on intake, flags potential conflicts with context, and requires managing-partner sign-off on edge cases before the matter advances to engagement. The partner time reclaimed usually pays for the Pro seat.
Engagement letter chase
Signed engagement letters delayed by signature chase.
A mid-size firm sends 180 to 400 engagement letters a year. 40 percent come back signed on the first ask, 40 percent need a follow-up, 20 percent need three or more. The partner spends about 11 hours a month on signature chase. Strkr tracks engagement letter status with reminders at day 7, 14, and 21. Strkr AI drafts the follow-up copy in a professional voice. The chase hours drop to roughly two per month.
Billable context gap
The CRM does not know what the time tracker knows.
Lawyers run time trackers like Clio, Smokeball, MyCase, PracticePanther, bill4time, or TimeSolv. The CRM usually does not know hours per matter. That gap means a partner review happens without knowing a matter has absorbed 180 billable hours against a $42,000 fee cap. Strkr exposes the time tracker tie through the standard webhook spec with HMAC signing and prints hours used versus budget on the matter card.
Privilege and confidentiality
AI drafting without leaking privileged detail.
Attorney-client privilege is not optional. AI drafting that pulls from other matters, other clients, or external sources risks privilege violation and malpractice exposure. Strkr AI runs with retrieval scope strictly scoped to the matter and the client, with cross-matter retrieval disabled by default. The admin can tune scope per matter type when a motion requires broader retrieval.
Bar-rule audit posture
State-bar and malpractice carrier require the paper trail.
State-bar rules under ABA Model Rule 1.6 and comparable state rules require records of client communication, matter work, and billing. A malpractice carrier audit examines the records. A CRM that cannot produce the audit trail puts the firm posture at risk. Strkr audit log captures record read, record write, email send, document access, and AI call events with 90-day default retention tunable per tenant to the bar-rule ceiling.
The lawyer schema
Objects shaped like legal work, not sales.
The default CRM schema does not map to legal work. Strkr ships a tunable lawyer schema with Client, Matter, Conflict Check, Engagement Letter, Billable Entry, and Court Deadline as first-class objects. A managing partner can rename or extend anything. The defaults land close to where most firms eventually settle.
A client carries entity type (individual, LLC, corporation, trust, estate, nonprofit, government), representation history, conflict status against the firm history, and relationship tier. The schema drives the conflict check scope and the AI retrieval scope automatically. New-matter intake pulls from the client record so returning clients do not re-enter their own detail.
Matter object
Type, lifecycle gate, fee structure, deadline.
A matter ties to the client and defines matter type (litigation, transactional, estate, family, immigration, corporate, criminal, administrative, personal injury, workers comp), lifecycle gate, fee structure (fixed, hourly, contingency, hybrid), court deadlines, and primary attorney. The matter drives the billable entry workflow and the court deadline cadence.
Conflict check object
Parties, prior representation, flag reason.
A conflict check runs on matter intake against the full firm client history. The object captures opposing parties, prior representation, flagged client overlaps, and resolution (clear, conflict, waiver obtained). The managing partner signs off on edge cases before the matter advances to engagement. The audit trail satisfies malpractice carrier review.
Engagement letter object
Scope, fee, signature status, witness.
An engagement letter ties to the matter and carries scope paragraph, fee structure, signature status (pending, signed, declined, superseded), signature date, and witness or notary status where applicable. The letter workflow drives the automated chase cadence at day 7, 14, and 21 with AI-drafted follow-up copy in the firm voice.
Billable entry object
Time, task, matter, client-visible description.
A billable entry ties to the matter and the attorney with time logged at tenth-of-hour granularity, task description, billing status (billable, non-billable, write-off, pending review), and client-visible description. Billable entries pull from the time tracker through the standard webhook spec and feed the matter card.
Court deadline object
Jurisdiction, filing type, response date.
Court deadlines tie to the matter and carry jurisdiction, court, filing type (complaint response, motion response, discovery, appeal, judgment, summary judgment), response date, and reminder cadence. For litigation practices the deadline object drives the matter triage view and the attorney calendar.
Referral source object
Where the client actually came from.
For firms that run a referral book Strkr tracks referral sources (other attorneys, prior clients, bar association listings, Avvo, Martindale, inbound forms) as a first-class object. The referral source history drives the quarterly referral-thank-you cadence and the top-referrer report for the managing partner.
Intake to engagement flow
The first 14 days of a new client, built in.
Firms lose matters between the initial consultation and the signed engagement letter. The intake flow in Strkr compresses the 14 days from inquiry to signed letter to roughly 72 hours for most matter types. The cards below are what happens at each gate.
Day 0
Inbound inquiry hits the intake queue.
A new inquiry arrives through the website form, referral email, phone intake, or in-person meeting. The intake coordinator (or the solo attorney) captures the matter type, the brief factual summary, and the fee range discussed. The conflict check fires automatically against the firm history before the matter advances.
Day 1
Conflict check resolves and attorney assigns.
The automated conflict check runs against the full firm history in under 30 seconds. Clear matters route to the primary attorney for engagement decision. Flagged matters route to the managing partner for review. The attorney has the context on the matter card without re-asking the client for detail.
Day 2
Engagement letter drafts and sends.
Strkr AI drafts the engagement letter scope paragraph from the matter type, fee structure, and prior-matter scope at the firm. The attorney reviews, adjusts two sentences on average, and sends. The letter goes with a signature link that routes to Strkr or to the firm e-signature tool through the integration.
Day 3 to 7
Signature chase runs automatically.
If the client has not signed by day 7 Strkr AI drafts the follow-up email in a courteous tone with the deadline printed. 70 percent of day-7 follow-ups get a signature within 48 hours because the email is specific instead of generic.
Day 8 to 14
Retainer collects and matter opens.
Once the engagement letter is signed Strkr prompts for retainer collection with the invoice generated through QuickBooks or the firm accounting integration. On retainer receipt the matter advances to active work status and the attorney gets a kick-off checklist for the matter type (litigation, estate, transactional).
Day 15 and beyond
Active matter work with billable context.
From day 15 the matter is in active work. The attorney logs billable time through the time tracker (which syncs to Strkr through the webhook). The matter card shows hours used versus fee budget, upcoming court deadlines, open client decisions, and the AI-drafted status update ready for client send.
Strkr AI for lawyer drafting
The AI jobs that fit real law practice.
Strkr AI drafts in a professional attorney voice with retrieval scope strictly scoped to the matter and the client. The buyer never picks a model, never configures a provider. The jobs below are what shows up on every lawyer deployment inside the first two weeks.
Engagement letter draft
Scope paragraph in the firm voice.
Strkr AI drafts the engagement letter scope paragraph from the matter type, fee structure, and prior-matter scope at the firm. The attorney reviews and tunes two sentences on average before sending. The draft lands in the firm voice because Strkr AI learns the tone from the first 20 approved letters.
Intake summary
The post-consultation recap for the matter record.
After an initial consultation Strkr AI drafts the matter intake summary with client situation, legal issues identified, representation scope, fee quote range, and recommended next step. The intake coordinator reviews and routes to the attorney for engagement decision.
Client status update
The regular matter-status touchpoint.
For active matters Strkr AI drafts a status update email summarizing recent work, upcoming deadlines, and open client decisions. The attorney reviews and sends. Status update cadence usually lifts from monthly to weekly for active matters because the draft removes the time cost.
Billing narrative
The invoice line in plain English.
Monthly invoice generation needs a plain-English description per billable entry. Strkr AI drafts the client-visible description from the internal task note, keeping privilege-sensitive detail off the invoice while giving the client the clarity needed. The billing partner reviews before the invoice sends.
Deadline prep note
Internal prep for the court response.
Before a court deadline Strkr AI drafts an internal prep note for the attorney with the filing type, response requirements, prior related filings, and recommended work scope. The attorney uses the note to delegate task work to the associate team.
Year-end review
The retainer client representation summary.
For retainer clients Strkr AI drafts a year-end representation review summarizing past-year matters, hours used versus budget, scope expansion opportunities, and recommended fee adjustment. The managing partner tunes and presents to the client in the renewal conversation.
Head-to-head
Strkr vs a general CRM for a lawyer caseload.
Most lawyers try a general CRM once and bounce because the schema does not fit matter work. The comparison below is Strkr lawyer posture versus a generic sales CRM applied to the same practice.
Feature
Strkr
Generic sales CRM for a lawyer
Matter as first-class object
With lifecycle gate, type, fee structure.
Deal object with manual workaround.
Automated conflict check
Yes against full firm history.
Manual Google Sheet or Access DB.
Engagement letter workflow
Built-in with chase cadence.
Manual email with no reminders.
Time tracker tie
Clio, Smokeball, MyCase via webhooks.
Manual CSV import monthly.
Court deadline tracking
First-class with jurisdiction field.
Task with no court context.
Privilege-scoped AI retrieval
Matter and client scoped by default.
Cross-record retrieval by default.
Referral source tracking
Yes with quarterly thank-you cadence.
Custom field, no cadence.
Audit log for bar compliance
Record read and write with retention.
Partial write-only.
HIPAA BAA for health law
Available on request.
Enterprise tier gate.
How teams use Strkr
Four lawyer practice playbooks.
Patterns Strkr onboarding sees on lawyer deployments across solo, boutique, and mid-size firms.
Pattern A
The solo estate planning attorney.
A solo estate planning attorney in Austin ran her book in a mix of Clio Grow and a Google Sheet with a copy-paste email cadence. The administrative chase ate about 11 hours a week. Strkr onboarding ran a six-business-day setup. Clio stayed for time tracking. The matter object, engagement letter workflow, and AI-drafted status updates landed on day one. By month three she had reclaimed about seven hours a week and taken on 18 new matters without hiring an assistant.
Pattern B
The 14-attorney family law firm.
A 14-attorney family law firm in Phoenix ran its intake through PracticePanther and its billing through TimeSolv with no shared view of matter status across the firm. The managing partner wanted cross-firm visibility without stepping on individual attorney autonomy. Strkr onboarding ran a 16-business-day migration consolidating conflict check, matter management, and billing context into Strkr while PracticePanther and TimeSolv stayed as production systems. Status update cadence lifted from monthly to weekly for active matters.
Pattern C
The 32-attorney litigation practice.
A 32-attorney litigation practice in Chicago ran a mix of Smokeball for time tracking, a custom Access database for conflict checks, and Outlook calendars for court deadlines. Strkr onboarding ran a 22-business-day migration consolidating conflict check, court deadline tracking, and matter management into Strkr with Smokeball staying for time entry. Court deadline misses dropped from four to zero in the first six months.
Pattern D
The 48-attorney personal injury practice.
A 48-attorney personal injury practice in Houston ran a contingency fee model with lien tracking, medical records coordination, and insurance negotiation threading through every matter. Strkr onboarding modeled lien types, medical provider records, and insurance adjuster contacts as linked objects on the matter card. Case cycle time dropped by about 11 days per matter because the paralegal team spent less time hunting for records across tools.
Run a caseload on a CRM shaped for matter work.
Book a 30 minute call. We will walk through the lawyer schema, the conflict check workflow, and the engagement letter cadence with your practice areas and attorney structure.
Does Strkr integrate with Clio, Smokeball, MyCase, PracticePanther, or TimeSolv?
Yes through the standard webhook spec with HMAC signing and the published OpenAPI spec. The typical setup pulls billable entries, matter history, and client contact data into Strkr while the time-tracking tool stays as the production system for time entry. For Clio, Smokeball, MyCase, PracticePanther, and TimeSolv the integration lands in an engineering sprint of one to two weeks. The result is bi-directional sync between the matter record and the practice management tool, which eliminates double entry without replacing production time tracking.
How does Strkr handle attorney-client privilege for AI drafting?
Strkr AI runs with retrieval scope strictly scoped to the matter and the client by default. Cross-matter retrieval is disabled unless the admin explicitly enables it for a matter type. The AI calls do not train on tenant data, and the audit log captures every AI call with timestamp, matter context, and user for malpractice posture review. For firms with heightened privilege requirements (criminal defense, grand jury representation, government matters) the retrieval scope can tighten further to exclude specific field types.
What is the compliance posture for a law firm migration?
Strkr is HIPAA compliant with a BAA available on request (relevant for health law practices and personal injury firms touching medical records), GDPR and CCPA compliant today, and SOC 2 Type II is in progress with a target of 2026-Q4. Integration tokens live in AWS KMS, platform credentials live in AWS Secrets Manager, and the audit log captures every record read and write with 90-day default retention tunable per tenant. SSO (SAML and OIDC) is live on Scale tier through Clerk, MFA with TOTP plus text-based verification is live, and Verified Domains are live on Scale.
What does Strkr cost compared to Clio Grow, Lawmatics, or Captorra?
Strkr runs flat per seat at $29 Starter, $59 Pro, $119 Scale per user per month with a 14-day trial. For a 14-attorney firm on Pro the monthly spend runs $826 for seats plus $49 for AI Enhancement. Clio Grow prices around $59 to $99 per user per month depending on tier. Lawmatics prices around $125 per user per month. Captorra prices similar. Strkr sits in the mid range on seat price and adds a deeper AI capability, custom-object schema flexibility, and the open API posture that the law-firm-specific CRMs often gate to premium tiers.
Can Strkr handle contingency fee matters for personal injury firms?
Yes. The matter object supports a contingency fee structure with case value estimate, fee percentage, lien tracking, and expense recovery context. The paralegal team sees a dashboard of medical records received, insurance adjuster correspondence, settlement offers made and received, and lien status per matter. For a 48-attorney personal injury firm this reduces case cycle time by about 11 days per matter because the team stops hunting for records across tools. The audit log captures every record access for bar-rule compliance.
What happens on migration from a legacy practice management system?
Strkr import brings in the full client history (contact info, matter history, note history, email history, billable history where available) with original timestamps preserved. For engagement letters and matter documents stored as PDFs in SharePoint, Google Drive, Dropbox, or NetDocuments, Strkr attachment import brings the files in with their original paths and tags. The AI retrieval index sees the full history on day one, which means the first draft Strkr AI writes is grounded in the actual client relationship rather than a stub record.
No sales call, no migration consultant, no four-month implementation. Enter your card, get 14 days of the full Pro tier, cancel any time before day 14 with zero charge. Spin up a workspace, import your CSV, and have something useful before lunch.
We use cookies.
Essential cookies keep the site working. If you accept, we also enable Google Analytics
so we can see which pages help and which don't. Reject to opt out entirely. Details in our
Privacy Policy.
