Transforming collections law firms into higher-yield, more efficient, and more intelligent recovery operations.
Time-based suit decisions waste capital on low-probability accounts. No predictive model means no visibility into which cases will actually convert to judgment.
Recovery yield, cost-to-collect, and breakeven are tracked in aggregate — not by state, debt type, score band, or seller. Margin compression goes undetected until it's too late.
Every account settled pre-suit avoids court costs entirely. But without AI-driven scripting, intelligent skip tracing, or automated workflow routing, that channel underperforms — and costs more than it should.
Without segment-level visibility, every account gets the same treatment. Top-quartile firms score, segment, and prioritize. The rest file blind and hope the math works out in aggregate.
Your clients are asking harder questions: What's my net yield by segment? Which accounts are worth filing on? If you can't answer with data, you're interchangeable with the next firm on their panel.
Firms that bring portfolio-level intelligence back to their clients become strategic partners, not vendor line items. That intelligence creates a switching cost — and it happens to improve your own margins in the process.
Firms that can show clients segmented recovery data, filing ROI by account profile, and cost transparency become indispensable. That data is your moat.
The gap between average and top-quartile collections performance usually starts here.
Better scoring reduces filing waste. Lower filing waste frees capital for better purchases. Better purchases improve yield. The compounding effect is where the real margin lives — not in any single lever.
You'll recognize every step below. The gold nodes show where the Advisorlytics® engine layers in — hover to see what changes.
Purchase Intelligence: Score historical portfolios retroactively to identify true recovery drivers. Rank sellers and debt types by realized ROI. Establish capital allocation thresholds before purchasing — so you buy smarter, not just more.
Predictive Scoring: AI-driven models that weight employment, residential stability, bankruptcy history, and balance — identifying the top 30% of accounts generating 70%+ of recovery. Every downstream decision gets sharper.
Settlement Optimization: AI-powered scripting, automated workflow routing, dynamic offer logic, and intelligent skip tracing. Every account settled here avoids court costs entirely. Outsourced labor + AI enablement can cut call center costs 40–50% while maintaining or improving contact rates.
Litigation Suitability Scoring: Not every non-responsive account is worth filing on. AI-driven scoring identifies high-probability accounts, automated routing delays or avoids filing on low-yield accounts, and reallocates filing capital toward cases that actually convert to judgment.
Client Intelligence Layer: Instead of aggregate recovery reports, deliver segmented performance data your clients can't get from any other firm on their panel — recovery by state, debt type, filing ROI, cost transparency. This is how you go from vendor to strategic partner.
Continuous Learning: Actual recovery data feeds back into purchase intelligence and scoring models. Every cycle gets smarter. This is the compounding engine — the gap between you and commodity firms widens with every quarter.
A performance layer that works alongside your existing systems — transforming raw portfolio data into optimized recovery decisions.
Balance, age, state, debt type, seller, score band
Filing rates, judgment conversion, recovery per case
Contact rates, settlement offers, promise-to-pay, talk time
Court costs, service fees, labor, per-seat agent cost
Avg purchase price as % of face, by vintage and seller
Collected vs. face value — tracked by segment
Net collections ÷ total investment, by cohort
Total cost as % of amount collected
Post-legal yield minus pre-legal yield
Time to breakeven per portfolio vintage
Deep dive into historical recovery data, filing patterns, and cost structures. Identify the 20% of levers driving 80% of margin.
Predictive litigation scoring, purchase intelligence, and settlement optimization — calibrated to your specific book.
Connect the engine to your existing workflows and data sources. Champion-challenger testing, automated routing, real-time decisioning.
Track recovery by cohort, recalibrate models quarterly, and compound gains across every portfolio cycle.
We start with a conversation — not a pitch. If there's a fit, we'll walk through your lifecycle together and identify where the biggest opportunities are.
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