CaseCaliber
For California plaintiff-side employment law firms

Run the intake call. Get back an analyzed case.

CaseCaliber is an AI co-pilot for your intake calls — and, launching with our founding cohort, a Rule 1.5.1-compliant referral network for the cases that don't clear your firm's threshold. The AI listens through every call, surfaces what to ask next, and flags credibility issues live. When the intake is done, run the analysis — and get back a case file with statutes, damages, deadlines, and citations. Cases you can't take, routed to firms who can.

The three pains

  1. Intake review is eating your week.

    Senior-rate hours on a queue that mostly goes nowhere. The cases that matter sit behind the cases that don't — and SOL math doesn't wait for you to catch up.

    With CaseCaliber: AI co-pilot on the intake call. Trigger the analysis when the call is done, get a structured case file back.

  2. Declined cases walk out the door.

    Below your firm's fee threshold doesn't mean without merit — those cases have a better-fit firm somewhere. Informal hand-offs are ad hoc, untracked, and rarely generate a referral fee.

    With CaseCaliber: a Rule 1.5.1 referral network, launching with the founding cohort. Earn referral fees on the cases you couldn't have litigated yourself.

  3. Most referral fees are void on technicalities.

    Three documents, executed in strict sequence: fee division, client disclosure, retainer. Miss one — or mis-word the consent — and the entire fee arrangement is voidable. Margolin and Chambers are the cases people get cited in.

    With CaseCaliber: three documents, generated in the right order, with explicit-consent language built in.

The platform

Sold together because the work is one workflow: run the intake, analyze the case, route what you can't take. Each is good on its own — but together, they're how the morning gets shorter.

Product 01

AI intake & case analysis

You conduct the intake call. The AI listens — transcribing live, surfacing what to ask next, branching when the matter shifts, and flagging credibility issues as they come up. When the intake is done, you trigger the analysis. The system returns a structured case file: operative statutes, damages range, SOL deadlines, and citations to controlling California precedent.

  • Real-time transcription via Twilio + Deepgram
  • Live question surfacing across 32 baseline topics with conditional branches (discrimination, retaliation, whistleblower, wage/hour)
  • 258-field structured case record, multi-call aggregated
  • Damages range and SOL math grounded in California precedent
  • Built-in credibility assessment — flags timeline inconsistencies live
Product 02

Rule 1.5.1 referral network

Launching with our founding cohort. List cases below your firm's threshold across three visibility tiers — open, trusted, and curated. Interested network attorneys express interest during a window you set; you pick the best fit. The three Rule 1.5.1 documents — fee division, client disclosure, retainer — generate and sign in sequence. Post-transfer, you keep a fee-tracking view.

  • Three visibility tiers: open network, trusted network, curated/direct
  • Interest-window model — you pick the best fit, not first-come-first-served
  • Three-document sequence with explicit-consent language per Margolin and Chambers
  • Client PII gated until all agreements are fully executed
  • No platform cut — referral fees stay between attorneys
  • Built on Anthropic's Claude — multi-model analysis architecture with named, audited infrastructure
  • Margolin and Chambers compliance built into the workflow — explicit-consent language, mandatory document sequence
  • Client PII encrypted at rest — gated to receiving firm only after all agreements are fully executed
  • California Rule 1.5.1, compliance-first by design — three-document sequence, not retrofitted
Who built this

Three founders, twenty years each: Tom (product) and Tyler (engineering), both with two decades building digital products across bio-tech, software, Fortune 50s, and startups — and Luciano, a practicing California plaintiff-side employment attorney who developed the case-valuation methodology this platform runs on. His manual valuations have been validated by real case settlements. The AI is calibrated to match his work.

FAQ

  • Clio Grow and Lawmatics are general-purpose intake CRMs. They route forms and track touchpoints — they don't run intake calls with you or analyze the legal substance of what comes in. Lead-gen services sell you contact info, not analyzed cases, and charge per lead regardless of quality. CaseCaliber is opinionated about one practice area: the AI sits on the call with you, surfaces what to ask next, and produces an analyzed case file calibrated against a 20-year California plaintiff-side employment attorney's valuation methodology.

Don't see your question? Email partners@casecaliber.ai — you'll hear from a founder, not a sales SDR.

Run the intake call with AI. Join the founding cohort.