Success Story: 40% Faster Cases with Advologix | Twopir
Industry
Personal Injury Law
Region
United States
Team Size
Multi-attorney PI practice
Case Volume
Active multi-matter caseload
Platform
Advologix + AWS
Delivery
3-phase engagement
Overview

From Disconnected Tools to One Automated Case Lifecycle

This US personal injury law firm managed client intake, matter creation, medical record collection, treatment tracking, litigation staging, and settlement processing across disconnected tools — limiting how many cases the firm could take on without adding headcount.

We implemented a unified Salesforce Advologix platform combined with AWS intelligent document processing to automate the case lifecycle end to end. From the first client call to the day a matter closes, every case now follows a structured, automated path — cutting manual legal workloads by 40% and giving attorneys real-time visibility into every matter. Read the full case study for the complete implementation breakdown.


40%
Faster case processing — manual handoff elimination
35%
Better data accuracy — OCR vs. manual entry
60%
Less intake admin — automated lead-to-matter conversion
Zero
Missed statute deadlines — 90/60/30-day automated alerts
Minutes
Lead-to-matter turnaround — was manual attorney follow-up
Full
Audit trail coverage — intake through closure, always review-ready

Challenge vs. Solution

What Was Manual — and What We Automated

✕ Before — The Challenges 6 Problems
Intake and matter creation ran across emails, spreadsheets, and manual checklists.
Attorneys tracked litigation stage and deadlines from memory and personal folders — no centralized pipeline view.
Medical reports arrived by email, fax, and mail with no structured extraction into case records.
Paralegals manually re-keyed patient details, treatment dates, CPT codes, and bill amounts from PDFs.
Statute of limitations and hearing dates were tracked manually, creating missed-deadline risk.
Compliance reviews needed manual record extraction with no audit trail from intake to settlement.
✓ After — What We Built 6 Fixes
We centralized every matter, party, and case stage in Salesforce Advologix — intake through closure in one system.
We built a custom matter-stage model (Intake → Investigation → Treatment → Demand → Negotiation → Settlement → Closed) with live pipeline dashboards.
We built an AWS Textract + Lambda pipeline that extracts and validates medical data directly from uploaded PDFs.
Extracted data now loads straight into Salesforce as structured treatment and lien records — no re-entry.
We automated statute tracking with 90/60/30-day alert sequences tied to incident date and jurisdiction.
We built an end-to-end audit trail in Salesforce, from intake through closure, always compliance-ready.

What We Did

Five Phases That Built One Automated Case System

Discovery

Mapped the Full Legal Lifecycle Before Writing Code

We mapped the case lifecycle from Intake through Investigation, Treatment, Demand, Negotiation, Settlement, and Disbursement, then documented role-specific workflows for attorneys, paralegals, and intake staff. We designed a unified data model spanning Advologix and AWS, aligned to the firm's actual PI casework patterns.

Process Mapping Data Model Design Workflow Audit
Case Management

Configured Advologix as the Firm's Single Source of Truth

We configured Salesforce Advologix with custom matter stages, role-based dynamic layouts, and automated intake forms that create leads instantly on submission. Lead-to-matter conversion now triggers automatically on attorney sign-off, assigning the primary attorney and starting onboarding.

Salesforce Advologix Custom Matter Stages Dynamic Layouts
Automation

Built an AWS Pipeline That Reads Medical Records Automatically

We built an event-driven pipeline where S3 uploads trigger a Lambda function, Textract extracts patient, provider, and billing data, and validated results push into Salesforce via API. Failed extractions route to a paralegal review queue with the failure reason attached.

AWS S3 AWS Lambda AWS Textract
Compliance

Automated Deadline Tracking and Document Checklists

We built statute-of-limitations automation that calculates deadlines from incident date and jurisdiction, firing 90/60/30-day alerts to attorneys and paralegals. We enforced settlement-stage document checklists so a matter cannot advance until requirements are met.

Statute Automation Document Checklists Task Queues
Enablement

Trained the Team and Validated the Pipeline Against Real Cases

We trained attorneys, paralegals, and intake staff on the new workflows, then ran parallel testing of the OCR pipeline against historical medical records to validate extraction accuracy. We tuned Lambda and Textract performance and monitored intake-to-matter and deadline-compliance KPIs post-launch.

Parallel Testing Attorney Training KPI Monitoring

The medical record backlog used to eat a paralegal's entire week. Now the system reads the PDF, matches it to the file, and updates the lien balance before anyone touches it.

— Managing Partner · US Personal Injury Law Firm · 2025

Key Outcomes

Six Things That Changed — With Numbers

Minutes

Intake creates a matter automatically.

No manual form processing or attorney follow-up chase — leads convert to matters on attorney sign-off.

OCR

Medical records extract and load without human re-entry.

Textract and Lambda replace manual paralegal keying from PDFs entirely.

90/60/30

Statute deadlines trigger automated alerts.

Filings no longer depend on personal calendars or memory.

Real-time

Matter visibility moved from weekly meetings to live dashboards.

Partners and attorneys see pipeline value, caseload, and deadline risk as it happens.

Encrypted

Documents live in S3 with role-based access and lifecycle archiving.

AES-256 encryption at rest, with automatic archival to Glacier after 12 months.

Full trail

Compliance audits pull from one end-to-end trail.

Every matter is review-ready from intake to closure — no manual record reconstruction.

Running a Similar Legal Case Management Operation?

We'll audit your intake, matter tracking, and document workflows and hand back specific findings — no commitment, results in 5 business days.


Technologies Used

The Tools and Techniques Behind This Engagement

Salesforce Advologix AWS Textract AWS Lambda AWS S3 Salesforce Flow Salesforce Reports & Dashboards S3 Glacier Pre-signed URLs Event-Based Webhooks

Ready to Run Your Firm on One Automated System, Not Five Disconnected Tools?

Twopir Consulting has delivered Salesforce and AWS implementations for 12+ years across 500+ clients — with US EST, UK GMT, and AEST coverage so your team is never waiting on a time zone.

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