Case studies

Problem, system, number.

Every engagement reported the same way: the problem as we found it, what we built, and the measured result. Legal engagements are anonymized by default — we name a client only with written permission.

Industry

Service

5 case studies

Legal & Professional ServicesLegal TechnologyAI-fication

[ANONYMIZED] full-service law firm, 40+ advocates

Problem: Matters lived in spreadsheets, hearing dates in a clerk's paper diary, and precedents in a shared drive nobody could search. Appearances went unbilled and limitation dates depended on one person's memory.
What we built: Both pillars: a matter register with hearing diary, limitation alerts, and billing — and a grounded research assistant over the firm's own opinions and drafts that cites a retrievable source for every answer.
Measured result: ₹[X] lakh in previously unbilled appearances recovered in year one
[X]% of hearing dates now entered from mobile by clerks
Research memo first drafts in [X] minutes, each citation linked to a source document

Retail, E-commerce & D2CE-commerce Engineering

[CLIENT] — D2C brand, $[X]M GMV

Problem: Platform plan, revenue share, transaction fees, and an app stack of [N] subscriptions were consuming margin that grew every time sales did.
What we built: A headless storefront on an owned stack, with full catalog, customer, order, and review migration and URL-for-URL redirects.
Measured result: $[X] in annual platform and app fees eliminated
Zero-downtime cutover; organic rankings held through migration
+[X]% conversion after the replatform

Professional ServicesSaaS MigrationCustom IT Products

[CLIENT] — professional services firm, [N] staff

Problem: CRM, ticketing, and BI subscriptions priced per seat — every hire made the same tools more expensive, and the data sat in three vendors' clouds.
What we built: One integrated internal platform replacing all three tools, self-hosted, with single sign-on and reporting the old BI tier had gated.
Measured result: [X]% lower three-year TCO than the renewal quotes
Per-seat cost eliminated — headcount growth no longer raises the bill
All customer data on the firm's own infrastructure

Healthcare & Life SciencesAI-ficationCustom IT Products

[ANONYMIZED] multi-speciality hospital group

Problem: Insurance claims were assembled by hand from discharge summaries, lab reports, and tariff sheets — slow to file, inconsistent, and rejected often enough to strain cash flow.
What we built: Claims automation that assembles the document set from the hospital's own systems, checks it against payer rules, and flags gaps for staff review before filing — deployed on-premise with consent-scoped access to patient records.
Measured result: Claim filing time cut from [X] days to [X] hours
First-pass rejection rate down [X]%
Every access to patient records consent-scoped and logged

Banking & Financial ServicesAI-fication

[ANONYMIZED] non-banking financial company

Problem: KYC onboarding meant manual review of identity and income documents — slow, inconsistent, and impossible to audit at volume.
What we built: Document intelligence that extracts, verifies, and flags KYC documents for human decision, deployed on-premise with a complete audit trail.
Measured result: Onboarding time cut from [X] days to [X] hours
[N] documents processed per day with human review on flagged cases only
Every automated decision logged and reviewable for RBI audit

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