From Disconnected Tools to a
Complete Legal & Finance Stack
— 40% Less Case Overhead, 45% Less Accounting Work

We ran structured discovery sessions with attorneys, paralegals, intake staff, and the finance team separately — because the gaps between what each group believed was happening and what was actually happening were as important as the gaps in the systems themselves. We mapped the full legal lifecycle: Intake → Investigation → Treatment → Demand → Negotiation → Settlement → Disbursement, recording every handoff point, every manual step, and every place where legal events and financial events needed to stay in sync.

The output was a gap analysis and architecture blueprint covering all three technology layers: what Salesforce Advologix needed to replicate from the existing workflow, where the AWS pipeline would slot in to replace paralegal re-entry, and how the QuickBooks integration needed to be structured to satisfy IOLTA trust accounting requirements. The client reviewed and approved the blueprint before any configuration work began — this is the step that determines whether the implementation follows the firm's actual workflow or a consultant's assumption of it.

Diagnostic Audit & Legal Workflow Mapping

We configured Salesforce Advologix as the firm's single source of truth for every matter from intake through closure. The custom matter status model reflected the firm's actual PI workflow stages — not a generic template — with sub-matter support for complex cases involving multiple defendants or insurance carriers. Role-based dynamic page layouts ensure attorneys, paralegals, and intake staff each see only the fields and actions relevant to their role. This is the configuration detail that determines whether attorneys adopt a legal CRM or route around it.

Intake automation was built to match the firm's actual inbound channels: automated forms create Salesforce Lead records on submission; lead-to-matter conversion triggers automatically on attorney sign-off, creating the full matter record, assigning the primary attorney, and initiating onboarding workflows; conflict check automation runs against existing records at intake, flagging issues before engagement begins. Statute of limitations deadlines are auto-calculated from incident date and state jurisdiction with 90/60/30-day alert sequences — the matter cannot advance past the Investigation stage without a confirmed statute date, enforced at the platform level.

Salesforce Advologix — The Legal Operations Hub

The medical record pipeline runs six steps from upload to Salesforce without human intervention for clean documents. A medical PDF uploaded to S3 — by a paralegal, or received via fax-to-email integration — triggers a Lambda function via S3 event notification. AWS Textract reads the document and extracts patient name, provider, treatment dates, CPT codes, billed amounts, and diagnosis codes. Lambda validates the extracted data against the case record: patient name match, date range plausibility, CPT code format. Clean records are pushed to Salesforce via API, creating treatment visit and medical lien records on the matter. Mismatches are flagged and routed to the paralegal review queue in Salesforce rather than silently failing.

All case files are stored in S3 with AES-256 encryption at rest. Role-based access policies limit attorney access to their assigned matters. Lifecycle policies automatically archive closed-matter documents to S3 Glacier after 12 months. Pre-signed URLs enable secure, time-limited document sharing with clients and co-counsel. This same document store also serves the QuickBooks layer in Phase 04: the structured medical bill data extracted here — CPT codes, billed amounts, provider information — is what feeds the automated vendor bill posting in QuickBooks Online.

AWS Intelligent Medical Document Processing Pipeline

Phase 04 connected the Salesforce legal operations layer to QuickBooks Online using a four-layer automation architecture built on Zapier and webhooks. Each layer targets a specific financial workflow: settlement and trust accounting, vendor and medical provider sync, expense and cost tracking, and real-time bi-directional sync. The design constraint throughout was IOLTA compliance: every dollar held in trust must be traceable from receipt to disbursement, and the integration was built with that audit requirement at its core — not added as an afterthought.

Layer 1 handles the most compliance-critical workflow: when a matter closes in Salesforce, settlement entries and trust deposits are automatically created in QuickBooks with validated TxnDate and memo fields mapped from the Salesforce matter record. Client disbursement schedules — attorney fees, medical liens, costs, net client payout — are calculated and posted automatically. Journal entries for operating-to-trust and trust-to-operating transfers are created with full audit trails. Layer 2 picks up the vendor sync: medical providers referenced in Salesforce case records are automatically created as vendors in QuickBooks if they do not already exist, using the structured provider data from the AWS Textract pipeline. Layer 3 handles case costs — filing fees, expert fees, investigation expenses — pushed from Salesforce to QuickBooks as categorised expense transactions with case-level profitability tracking. Layer 4 closes the loop: Zapier workflows listen to Salesforce case milestones and fire corresponding QuickBooks actions; payment confirmations and trust balance updates flow back to Salesforce attorney dashboards within minutes.

QuickBooks Online Integration — Four-Layer Trust Accounting Automation

We built real-time dashboards for case pipeline value, average settlement amount, attorney caseload, and statute deadline risk — replacing weekly status meetings with live visibility for all firm stakeholders. Partner-level reporting covers firm-wide profitability, outstanding medical liens, and matter aging. Automated weekly case summary reports are distributed to attorneys and managing partners without any manual preparation. The QuickBooks integration means the financial data — settlement amounts, outstanding liens, case profitability — feeds into these dashboards in near-real-time rather than reflecting the previous week's manual export.

Training was role-based and structured around the workflows rather than platform features: attorneys learned the statute tracking and matter advancement flow; paralegals learned the medical record exception review queue and the vendor sync process; intake staff learned lead qualification and conflict check; the finance team learned the QuickBooks sync monitoring and exception handling. We ran parallel testing of the AWS OCR pipeline against historical medical records before go-live, and validated the QuickBooks integration against actual settlement records from recent cases. Handoff included documentation for every workflow and a 30-day hypercare period.

Reporting, Dashboards & Role-Based Training