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Case Study
July 10, 2025

How Smokeball scaled customer data migrations with OneSchema’s workflow automation platform

By automating the file mapping and validation process, Smokeball cut onboarding timelines from months to days, unlocking productivity, scalability, and faster customer time-to-value.

Sol Chen
Sol is the Chief of Staff at OneSchema.
The data migration process... sets our users up for success. It starts from understanding the client’s needs all the way through to making sure it’s in the system in the right format.
Sam Cullum
Global Head of Data Migrations, Smokeball
We’ve built our own frontend on top of OneSchema, launching customers into mapping and transformation, exposing errors, warnings. It’s an intuitive, user-friendly, end-to-end migration experience.
Sam Cullum
Global Head of Data Migrations, Smokeball
For anybody else looking to simplify and improve their data migration process, or offer the ability for that to be performed by a wider variety of users, OneSchema is perfect.
Sam Cullum
Global Head of Data Migrations, Smokeball
AI-powered file imports from anywhere
Data operations and services teams use OneSchema to automatically map, clean, and validate their messy CSV & PDF data.

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Overview

Smokeball, a practice management software for law firms, transformed its onboarding experience using OneSchema’s platform. By automating the file mapping and validation process, Smokeball cut onboarding timelines from months to days, unlocking productivity, scalability, and faster customer time-to-value.

Before OneSchema: Complex Legal Data, Manual Migrations, and Slow Onboarding

Smokeball equips legal professionals with an all-in-one platform to manage time tracking, billing, documentation, and client communication. But delivering this value hinges on successfully migrating a customer’s data – often stored in unstructured formats like paper records, Excel sheets, or outdated software.

Data onboarding was a pain point. Every new customer required manual, highly customized migration work, consuming engineering resources and slowing time-to-value. Smokeball’s migration team used internal tools and ad hoc scripts to map and transform complex datasets.

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These migration workflows were time-consuming, limiting Smokeball’s ability to serve more firms and move upstream into larger, more complex accounts.

Why OneSchema: Automating Manual Data Workflows

Smokeball turned to OneSchema to automate and scale their internal data workflows – especially those tied to customer onboarding. With OneSchema’s workflow engine, Smokeball empowered non-technical users to manage file-based imports themselves while retaining full control over transformation logic.

Instead of just embedding a spreadsheet importer, Smokeball built a custom frontend experience powered by OneSchema’s data platform. Legal professionals could now upload their data, see intelligent automapping, and correct validation errors on their own.

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Critically, Smokeball encoded repeatable logic directly into onboarding flows by writing their own transformation hooks, enabling a scalable and secure way to enforce industry-specific rules like billing formats or deposition structures. This extensibility enabled a powerful blend of automation and domain-specific customization.

Impact: Revenue Scale, Customer Experience, and Operational Efficiency

Since implementing OneSchema, Smokeball has run over 600 migrations, transforming onboarding from a bottleneck into a competitive advantage. Key outcomes include:

  • Parallelized migrations: Migrations no longer block each other. The team can run multiple workflows concurrently, unlocking org-wide productivity and increasing deal throughput.
  • Business-ready self-serve: Customers complete onboarding independently, shortening time-to-value and enabling Smokeball to support more clients without growing the team.
  • Developer efficiency: Engineers focus on edge cases, not repetitive data handling, maximizing technical leverage.
  • Industry-specific automations: OneSchema powers complex legal data onboarding, including nuanced edge cases like legal billing codes and unstructured notes that generic tools can’t parse.

This migration strategy both makes support more efficient while accelerating Smokeball’s go-to-market motion. With faster onboarding and less risk, Smokeball can now confidently pursue law firms who were previously hesitant to switch tools due to migration complexity.

{{quote-3}}

Powering Data-First Workflows

Smokeball’s story illustrates a broader shift: where other tools offer static importers, OneSchema delivers a dynamic workflow engine for data operations teams. Data operations efficiency comes from the flexibility of a platform that is capable of orchestrating complex, real-world workflows.

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Overview

Smokeball, a practice management software for law firms, transformed its onboarding experience using OneSchema’s platform. By automating the file mapping and validation process, Smokeball cut onboarding timelines from months to days, unlocking productivity, scalability, and faster customer time-to-value.

Before OneSchema: Complex Legal Data, Manual Migrations, and Slow Onboarding

Smokeball equips legal professionals with an all-in-one platform to manage time tracking, billing, documentation, and client communication. But delivering this value hinges on successfully migrating a customer’s data – often stored in unstructured formats like paper records, Excel sheets, or outdated software.

Data onboarding was a pain point. Every new customer required manual, highly customized migration work, consuming engineering resources and slowing time-to-value. Smokeball’s migration team used internal tools and ad hoc scripts to map and transform complex datasets.

{{quote-1}}

These migration workflows were time-consuming, limiting Smokeball’s ability to serve more firms and move upstream into larger, more complex accounts.

Why OneSchema: Automating Manual Data Workflows

Smokeball turned to OneSchema to automate and scale their internal data workflows – especially those tied to customer onboarding. With OneSchema’s workflow engine, Smokeball empowered non-technical users to manage file-based imports themselves while retaining full control over transformation logic.

Instead of just embedding a spreadsheet importer, Smokeball built a custom frontend experience powered by OneSchema’s data platform. Legal professionals could now upload their data, see intelligent automapping, and correct validation errors on their own.

{{quote-2}}

Critically, Smokeball encoded repeatable logic directly into onboarding flows by writing their own transformation hooks, enabling a scalable and secure way to enforce industry-specific rules like billing formats or deposition structures. This extensibility enabled a powerful blend of automation and domain-specific customization.

Impact: Revenue Scale, Customer Experience, and Operational Efficiency

Since implementing OneSchema, Smokeball has run over 600 migrations, transforming onboarding from a bottleneck into a competitive advantage. Key outcomes include:

  • Parallelized migrations: Migrations no longer block each other. The team can run multiple workflows concurrently, unlocking org-wide productivity and increasing deal throughput.
  • Business-ready self-serve: Customers complete onboarding independently, shortening time-to-value and enabling Smokeball to support more clients without growing the team.
  • Developer efficiency: Engineers focus on edge cases, not repetitive data handling, maximizing technical leverage.
  • Industry-specific automations: OneSchema powers complex legal data onboarding, including nuanced edge cases like legal billing codes and unstructured notes that generic tools can’t parse.

This migration strategy both makes support more efficient while accelerating Smokeball’s go-to-market motion. With faster onboarding and less risk, Smokeball can now confidently pursue law firms who were previously hesitant to switch tools due to migration complexity.

{{quote-3}}

Powering Data-First Workflows

Smokeball’s story illustrates a broader shift: where other tools offer static importers, OneSchema delivers a dynamic workflow engine for data operations teams. Data operations efficiency comes from the flexibility of a platform that is capable of orchestrating complex, real-world workflows.

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