AppRocket

Vertical AI · Mid-market law firms

A vertical-AI implementation studio for mid-market law firms.

Founded 2017. Founder-led. Stanford-engineered. Eight years of operating experience, eighteen months of production legal AI, and one productized engagement model that ships in eight weeks.

Our Company

AppRocket has been a working consulting firm since 2017. The team that exists today is the team that spent eighteen months operating Casetrack — a production legal-software product used by real attorneys handling real matters — and learned, by doing, what eval discipline, attorney-trust onboarding, and integration brittleness actually cost in the field.

Casetrack was sunset in 2026. Not because it failed: because the lessons it taught compound faster as a services engagement than they did as a single product. Today AppRocket builds production AI for mid-market law firms (50–500 attorneys) using four agent templates we have deployed before — intake triage, doc review assist, conflict-check resolution, and billing reconciliation.

The firm is led by Qasim Zafar, alongside a six-person core team distributed across Palo Alto, Lahore, Arlington, Nottingham, and Dubai — plus two engineering-partner relationships (a deep-AI/ML firm focused on evals and RAG, and a product-engineering firm focused on integration and UI) that together let a small core deliver enterprise-grade work at boutique speed.

Read the Casetrack sunset retrospective →

By the numbers

Eight years of cumulative client work — mid-market services firms, NASA Artemis, US legal, fintech, healthcare, and the production AI portfolio we anchor today.

    $250M+Direct revenue generated
    134+Projects delivered
    7+Years operating
    5Cities, three continents

How we engage

Three productized tiers. One pricing page. No decks-required qualifying call.

    01

    AI Readiness Audit

    $15,000 · 2 weeks

    Vendor-neutral, founder-led. We map the workstreams worth automating, the ones that aren’t, and what it would actually cost to ship.

    Learn more →
    02

    AI Implementation

    $80–250K · ~8 weeks

    Production AI built against an eval harness from day one — intake triage, doc review assist, conflict-check resolution, billing reconciliation.

    Learn more →
    03

    ModelOps Retainer

    $8,000/mo · ongoing

    Eval drift, model swaps, incident response, and quarterly capability upgrades — the operating discipline that keeps production AI in production.

    Learn more →

Founder

AppRocket is led by Qasim Zafar— Stanford MS&E researcher, Sequoia InSITE Fellow, NASA Artemis subcontractor, and former operator of production legal software.

Qasim Zafar, Founder & CEO

Qasim Zafar

Founder & CEO

  • Stanford MS&E

    Management Science & Engineering researcher

  • Sequoia InSITE Fellow

    Sequoia Capital fellowship for early-stage founders

  • NASA Artemis subcontractor

    Product manager — Lunar Gateway program

  • Savaree → Careem exit

    Founding-team operator experience

  • 18 months of production legal software

    Built and operated Casetrack (sunset 2026)

Stanford MS&E researcher and Sequoia InSITE Fellow who founded AppRocket in 2017. Has shipped production AI for NASA Artemis (Lunar Gateway), digitized law firms end-to-end, and previously built and operated Casetrack, a production legal-software product (sunset 2026 to focus on services).

AI strategyForward Deployed EngineeringLegal AIEval disciplineVertical AI implementationProduction ML systems

The team

A six-person core distributed across five cities, plus two engineering-partner relationships. Click through for full bios.

How we work

Four operating principles that show up in the codebase, the evals, and the engagement model.

    Honesty over polish

    We publish what worked and what didn’t — including Casetrack. The retrospective is on this site as primary-source research, not a case study with the failures edited out.

    Pods sized to the engagement

    Six-person core team plus two engineering-partner relationships. We staff the work the engagement actually needs — not the headcount the agency template wants to bill.

    Eval discipline before model selection

    The eval harness is the deliverable. Model choice is downstream of how we measure correctness, latency budgets, and the cost of being wrong in front of a paying customer.

    Founder-led, in the codebase

    The founder is in the architecture review and the production push, not on the kickoff slide and the steering-committee call. That’s the bar mid-market firms are paying for.

Why the name AppRocket

Because every implementation is a launch. The work that pays the bills is shipped, evaluated, and operated — not pitched. That’s the bar the name commits us to.

Global Presence

Five offices across three continents — Lahore, Palo Alto, Arlington, Nottingham, and Dubai.

    North America

    Palo Alto

    USA

    North America

    Arlington

    USA

    Europe

    Nottingham

    UK

    Middle East

    Dubai

    UAE

    Asia

    Lahore

    Pakistan

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