Production AI for US mid-market law firms, in 8 weeks.
Built by the team that digitized ABS & Co. and ran Casetrack in production for 18 months. For 50–500 attorney firms. Start with a $15,000 readiness audit.
ABS & Co.
Digitized end-to-end
Brand, search, the firm's matter taxonomy and conflicts data, and the AI features that ride on top. Our anchor legal client.
18 months
Operating Casetrack
Production case-management software handling real matters for real attorneys. Sunset 2024 to refocus on services.
Stanford MS&E
Founder credentials
Sequoia InSITE Fellow. NASA Artemis subcontractor. Founding team at Savaree, acquired by Careem.
What we mean by AI for mid-market law firms
Four agent templates, deployed inside the case management system you already use: intake triage, doc-review assist, conflict-check resolution, and billing reconciliation. The work that determines whether they survive production is not the model choice. It is the data underneath: a consistent matter taxonomy, deduplicated conflicts records, and document metadata that doesn't lie. Most of our first month is data hygiene. The agents come second.
ABS & Co.
One of Pakistan’s leading law firms — Legal 500 and Chambers-recognized for corporate, commercial, dispute resolution, and international arbitration.
AppRocket has been ABS & Co.’s digital partner across multiple phases. Brand and discoverability rebuild in 2024. Then the data work underneath: matter taxonomy, intake routing, conflicts hygiene. Then the AI features that ride on top, in production today.
The engagement is the source of the sequencing we now use with every new firm: brand and discoverability before AI; data hygiene before AI features; an evaluation harness from day one; phases, not big-bang. Skipping any of the four is the most common way these deployments fail.
Read the full case studyFour agent templates that generalize across firms
Casetrack’s 18 months in production taught us which legal-AI workflows actually transfer across mid-market firms. These four do. Almost everything else does not, at least not without the per-firm calibration a SaaS vendor cannot deliver.
Intake Triage Agent
Inbound queries routed to the right practice group with conflicts pre-flagged in under 30 seconds.
- Senior-attorney triage time reduced 60–80% on routine inbound (firm-tunable)
- Conflict surprises caught at intake, not at engagement letter
- Inbound-to-engagement-letter cycle time compressed measurably
Override band: 8–18%
Doc Review Assist
First-pass review of contracts, due diligence packages, and discovery documents with clause-level citation provenance.
- Senior-attorney review time on routine document packages reduced 30–50%
- Risk-flag consistency improves across deals (uniform taxonomy)
- Junior-attorney role evolves from summarization to verification
Override band: 12–25%; runs higher on document types we have not yet tuned for
Conflict Check Resolution
AI-assisted conflict resolution with normalized entities, time-decay weighting, and a paper trail attorneys can defend.
- Conflicts team capacity expanded 2–3x without headcount addition
- Entity-normalization false-negatives materially reduced on cross-border work
- Defensible audit trail every conflict decision (malpractice insurance carriers like this)
Override band: 5–15%; tighter than other deployments by design — conflict-checking demands tighter precision
Billing Reconciliation
AI-drafted billing entries with a mandatory human-in-the-loop checkpoint, for the workflow where errors meet client trust.
- Attorney time-to-bill compressed 40–60% on routine matters
- Block-billing and narrative-style consistency materially improved
- Client billing-guideline compliance audit trail
Override band: 15–25%; narrative-style edits dominate this band
How we compare to the alternatives
What you would otherwise be choosing between if you have decided to deploy AI in your firm.
| Dimension | AppRocket | Harvey / Eve / Spellbook | Big-4 strategy | In-house build |
|---|---|---|---|---|
| Form factor | Services firm — production builds inside your case management | SaaS product — replacement workflow surface | Strategy deck | In-house engineering |
| Industry focus | Legal-only mid-market | Legal-only | Generalist | N/A |
| Evaluation methodology | Published; refined across 18mo Casetrack + ABS & Co. | Vendor-defined; methodology not published | Strategy deliverable; no implementation | Whatever the firm chooses to build |
| Integration approach | Inside your existing CMS | Replace your CMS | N/A | Inside your existing CMS |
| Time to first value | 8 weeks per surface | 4-12 weeks rollout + change-mgmt | 12-24 weeks (deck only) | 6-18 months |
| Audit trail / malpractice posture | Logged and tagged from week one; carrier-acceptable | Vendor-managed | N/A | Whatever the firm chooses to build |
| Cost band | $80-250K/surface + $8K/mo ModelOps | $50K-$500K/yr SaaS depending on size | $250K-$1M one-time | $1M+ in fully-loaded internal cost |
18 months running legal AI in production
We sunset Casetrack in April 2024 to refocus on services. Before we did, we wrote down everything 18 months running it taught us: eval drift, conflict-check edge cases on non-Latin scripts, billing-recon checkpoint discipline, and clause-level citation UX.
The retrospective is a first-hand record of what actually breaks when legal AI runs in production, written by the people who broke it and recovered from it. It includes the buyer-side checklist we recommend mid-market firms use to evaluate any AI vendor.
Read the retrospectiveFounder-led.
Every engagement is led by Qasim Zafar. No tiered Big-4 delivery model, no junior associates running the work, no decks.
Every engagement is led by Qasim Zafar — Stanford MS&E, ex-Careem founding team, operator of Casetrack and the NASA Lunar Gateway dashboards. Full bio →
Book the audit
Pick a 30-minute slot. We will use it to confirm scope, send the $15K SOW, and book the kickoff.
Mid-market legal AI — frequently asked
Ready to scope your firm's AI?
The AI Readiness Audit is the first engagement we recommend for any mid-market firm. Two weeks, $15,000, fixed price.