meta ads quiz to legal intakeFrom Meta Ads Quiz to Intake: How OBE Scales Acquisition, Sandboxed Case Packages, and Deep Qualification

Most plaintiff firms treat digital marketing and legal intake as disconnected silos. A marketing agency runs ads on Meta, generates a list of contact submissions, and dumps them into a spreadsheet. Paralegals spend their afternoons chasing unresponsive leads, only to discover that the claimant lacks standing, missed the statute of limitations, or cannot provide the underlying contract.

OBE closes this gap by unifying acquisition, creative capital, automated intake workflows, and deep case qualification into one single operating engine.

Instead of buying unverified form fills, law firms define their target case criteria. OBE finances the ad spend, crafts the creative, runs the multi-step quiz funnels, processes the claimant documents through trained extraction pipelines, and delivers fully structured case packages. For leads that do not fit a firm's litigation criteria, OBE provides an integrated marketplace to monetize surplus case volume.

Here is how the end-to-end pipeline operates.

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1. Dedicated Creative Teams and Ad Spend Financing

Running high-performance ad campaigns on Meta requires specialized legal creative, rigorous compliance checks, and substantial working capital. Many litigation firms want to scale high-value consumer arbitration or mass tort dockets but hesitate to deploy seven figures in unproven ad inventory.

OBE solves both the creative execution and the capital barrier:

• Internal Creative Team: We maintain an in-house production team focused entirely on legal acquisition. We work with your firm to define specific case types, statutory triggers, claimant pain points, and compliant ad angles.
• Financed Ad Capital: OBE provides lines of advertising capital up to $1.5 million per month to run your campaigns. Firms avoid tying up operating cash flow in speculative ad spend.
• Predictable Unit Economics: OBE operates on a transparent 15% margin from the base price per lead. Law firms get institutional media buying power, dedicated creative testing, and transparent pricing without the overhead of an outside agency.

+-------------------------------------------------------------+
|                     OBE CREATIVE ENGINE                     |
|                                                             |
|  [Law Firm Case Specs] ---> [In-House Creative Production]  |
|                                         |                   |
|                                         v                   |
|  [Up to $1.5M/Mo Capital] -> [Targeted Meta Video & Quizzes]|
+-------------------------------------------------------------+

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2. From Meta Ad Quiz Directly into Automated Intake

A click on a Meta ad should never drop a claimant onto an endless, thirty-field intake form. Long static forms create friction and high drop-off rates. At the same time, native single-tap forms often deliver low-intent contact details with zero verified case facts.

OBE bridges this with an automated, responsive intake bridge:

1. The Context-Aware Ad Quiz: Rather than relying on generic Meta lead ads with forms that collect shallow contact data, prospects engage with an interactive, multi-step quiz that qualifies their basic circumstances without exposing sensitive case facts directly inside the social platform.
2. Deterministic Data Ingestion: The moment the quiz concludes, lead attributes pass directly through secure APIs into the firm's OBE workspace.
3. Automated Return-to-Intake Workflow: OBE immediately routes the claimant into a dedicated, branded intake session via SMS and email. If the claimant pauses or switches devices, their state persists. A single tap brings them back to where they stopped.
4. Structured Document Collection: The workflow requests the vital documents needed to prove the claim: contracts, loan disclosures, billing statements, or communications. Claimants upload files directly from their smartphones.

Because acquisition and intake live on the same pipeline, no lead sits idle in an unmonitored inbox. The system responds in seconds, dramatically elevating speed-to-lead and conversion rates.

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3. Deep Qualification: Verified Violations and Extracted Factframes

A lead is not an entry in a contact list. A lead is a verifiable legal claim backed by statutory authority and documentary evidence.

When documents enter the OBE intake system, our rule-based Entity Engine extracts, cross-references, and validates every critical variable:

Pipeline Phase	Traditional Lead Generation	OBE End-to-End Pipeline
Media Sourcing	Agency markups, separate invoices, fragmented tracking	In-house creative, up to $1.5M/mo ad capital, 15% transparent margin
Intake Handoff	CSV export or basic webhook to generic CRM	Direct API handoff to automated, responsive claimant workflow
Document Gathering	Paralegals chase files via manual phone calls and emails	Automated mobile document upload with real-time completeness checks
Case Fact Extraction	Manual attorney reading across multiple PDFs	Rule-based Entity Engine extracts facts and flags statutory violations
Review Output	Unqualified names and unverified notes	Complete case package with factframe, source citations, and retainers
Case Access	Disorganized email attachments	Governed Case Sandbox with PDFs or per-organization Model Context Protocol (MCP)
Unaccepted Leads	Discarded leads, wasted marketing spend	Liquid OBE Marketplace to sell surplus qualified files to other firms

Before an attorney opens the file, OBE has already assembled a complete case package:

• Violations Reviewed: The system checks contract terms against statutory rules, highlighting arbitration clauses, fee inflation, or non-compliant disclosures.
• Extracted Case Facts: Key dates, dollar amounts, lender names, and counterparties are organized into a standardized factframe.
• Source Citations: Every extracted data point links directly to the underlying page in the claimant's uploaded PDF.

Attorneys do not waste billable hours sifting through unviable inquiries. They review a complete, verified case file and make one deterministic decision: Accept or Pass.

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4. The Governed Case Sandbox: PDFs and Per-Organization MCP

When a law firm accepts or purchases a case through OBE, they do not receive a messy Google Drive folder. They receive access to a hardened, isolated Case Sandbox.

OBE delivers case data across two distinct tiers:

Option A: Complete Static PDF Packages

For traditional litigation practices, OBE compiles the entire case into an organized package. This includes:

• The Violation Report: A clean breakdown of detected statutory violations, citations, and damages calculations.
• The Verified Factframe: Every extracted entity organized chronologically with direct document references.
• Indexed Source Evidence: Clean PDFs of every contract, disclosure, and utility bill, stamped with cryptographic hashes for provenance.

Option B: Per-Organization Scoped MCP Sandbox

For modern firms leveraging frontier AI models, OBE provides direct integration through the Model Context Protocol (MCP) via our @obelisk/mcp-server adapter.

Firms can connect this adapter directly into chat and agent applications such as ChatGPT, Claude Desktop, Claude Cowork, or internal LLM stacks.

+-------------------------------------------------------------------------+
|                        OBE GOVERNED MCP ADAPTER                         |
|                                                                         |
|  [ChatGPT / Claude Cowork] <---(stdio / SSE)---> [@obelisk/mcp-server]  |
|                                                          |              |
|                                                          v              |
|                                              [Org-Scoped Case Sandbox]  |
|                                              * Verified Documents       |
|                                              * Deterministic Facts      |
|                                              * CASE_MAP.md / JSON       |
+-------------------------------------------------------------------------+

The MCP adapter provides instant, secure, and non-destructive access to any case and its structured data:

• Strict Tenant Isolation: Every request is authenticated with bearer credentials and scoped to the purchasing firm's organization ID. An attorney can query only the files their firm has acquired.
• Non-Destructive Exploration: External models can read, synthesize, draft motions, and cross-reference testimonies without the ability to corrupt or overwrite the underlying case evidence.
• Zero Manual File Uploads: Staff never need to manually download confidential PDFs to re-upload them into third-party browser tabs.

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5. Trained Extraction Pipelines vs. Naive Folder Dumps

Many law firms attempt to analyze contracts by dumping an entire folder of client documents into generic chat interfaces. This approach consistently breaks down on complex consumer litigation.

Generic LLMs processing unstructured folders suffer from critical defects:

1. OCR Hallucinations and Table Scrambling: Standard multimodal models scramble multi-column loan disclosures, miss small-print APR percentages, and misread dealer fee line items.
2. Context Dilution: Shoveling eighty pages of boilerplates into a prompt causes attention degradation. The model frequently confuses the solar installer with the finance company or quotes an invalid cancellation window.
3. Lack of Truth Hierarchies: A generic chatbot treats an oral statement in an interview transcript with the same weight as a signed, integrated promissory note.

OBE solves this by processing every intake through specialized, trained extraction pipelines calibrated per document type:

[Uploaded Document]
        |
        v
[Document Classifier] ---> Identifies: Finance Agreement, Install Contract, or Notice
        |
        v
[Trained Pipeline]    ---> Reducto / Chunkr Layout-Aware Extraction
        |
        v
[JSON Schema Mapping] ---> Deterministic Field Validation & Alias Normalization
        |
        v
[Factframe & Graph]   ---> Source-Linked Entities with Page Pointers

• Calibrated Pipelines Per Document Type: Financing agreements, installation contracts, utility invoices, and notices of cancellation each pass through dedicated models trained specifically on that layout.
• Strict JSON Schemas: Extracted entities are governed by structured JSON schemas. Field definitions enforce exact types, ranges, and alias tables (e.g., mapping "Finance Company Name", "Lessor", and "Creditor" to a canonical lender ID).
• Deterministic Confidence Scores: If an extraction fails verification rules or exhibits low optical confidence, OBE routes the file to an internal review queue rather than allowing a hallucinated value to enter the case record.

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6. Deep Reasoning with the Case Map Graph: Maximizing Accuracy and Slashing Token Costs

Feeding raw document text to an LLM every time an attorney wants to draft a complaint or evaluate a claim is slow, fragile, and prohibitively expensive.

OBE enables deep reasoning over case data through a pre-computed Case Map (CASE_MAP.md and case_map.json).

The Case Map is a directed semantic graph that captures the entire legal structure of the dispute before an LLM ever touches it:

+-----------------------------------------------------------------+
|                       CASE MAP GRAPH MODEL                      |
|                                                                 |
|  [Statutory Issue: TILA]                                        |
|         |                                                       |
|   (has_element)                                                 |
|         v                                                       |
|  [Element: Hidden Dealer Fee] <---(supported_by)--- [Contract]  |
|         |                                                |      |
|   (unlocks_remedy)                                (located_in)  |
|         v                                                v      |
|  [Statutory Damages & Recision]               [Page 4, Clause 12]
+-----------------------------------------------------------------+

How the Case Map Operates:

1. Structured Graph Nodes: Represents the core legal entities: statutory issues, legal elements, factual findings, evidence units, and available remedies.
2. Deterministic Edges: Connects nodes through explicit legal relationships: has_element, supported_by, defeated_by, located_in, and unlocks_remedy.
3. Exact Source Pointers: Every fact node contains precise page numbers and character offsets linking directly to the underlying document evidence.

Why the Case Map Transforms Legal AI Economics:

• Drastic Token Reduction: When an attorney or agent asks, "Does this claimant have a viable Truth in Lending Act claim for hidden finance charges?", the LLM does not need to read eighty pages of raw text. The MCP adapter queries the Case Map, retrieving only the relevant issue node, its supporting evidence pointers, and the exact contract excerpt. Token usage drops by over 85%.
• Superior Reasoning Accuracy: Because the model navigates an explicit graph of elements and evidence, it never hallucinates facts that do not exist in the record. The Case Map guides the LLM along verified paths of legal proof.

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7. The OBE Marketplace: Liquid Secondary Capital for Unaccepted Cases

Every litigation practice has strict selection criteria. A firm may only take cases within a specific federal circuit, above a particular damages threshold, or against named institutional defendants. In traditional setups, leads falling outside these boundaries are marked "rejected" and written off as lost marketing expense.

OBE transforms discarded acquisition costs into a revenue stream through the OBE Legal Marketplace:

1. Selective Retention: When an intake reaches the decision screen, your firm accepts the cases that match your docket goals and marks non-core files for the marketplace.
2. Metric-Driven Valuation: Because each unaccepted file already contains verified facts, uploaded contracts, and evaluated violations, OBE calculates an objective qualification score and assigns a transparent market price tag.
3. Firm-to-Firm Distribution: Other qualified law firms on the OBE network purchase these files to expand their own arbitration and litigation dockets. Purchasing firms access the data immediately through the PDF package or the org-scoped MCP sandbox.
4. Direct Capital Recovery: Revenue generated from marketplace sales routes directly back to the originating law firm.

Instead of losing ad budget on files your firm cannot litigate, the marketplace turns your secondary acquisition volume into liquid working capital that fuels your primary campaigns.

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Scaled Acquisition with Governed Intake

Building a nationwide consumer arbitration or mass tort docket does not require building an internal media buying team or drowning your intake staff in manual verification.

By combining dedicated creative execution, up to $1.5M in monthly ad capital, automated claimant workflows, trained extraction pipelines, sandboxed MCP adapters, and a secondary marketplace, OBE gives law firms full command over their intake pipeline from first ad impression to signed retainer.

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Ready to turn your Meta acquisition into review-ready case packages?

👉 Schedule a Consultation with Tim Ottowitz
We will review your active case criteria, evaluate your creative angles, and demonstrate how OBE finances and automates your intake pipeline.

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