Litigation support from court reporting and e-discovery to jury consulting
Magna Legal Services supports litigation from discovery through trial, but its stack points to a growing internal tech arm: Snowflake, dbt and Azure Data Factory now being adopted, alongside ML libraries like PyTorch, TensorFlow and Hugging Face. Job posts flag Snowflake performance and warehouse cost as pain points, while hiring stays dominated by legal roles, with velocity accelerating and a small data and engineering core modernizing the platform.
Magna Legal Services is a Philadelphia-based, privately held litigation support firm founded in 2007, with 501–1,000 employees. It serves law firms, corporations and government agencies across the United States. Services span court reporting with real-time transcription and remote depositions, document and e-discovery consulting, record retrieval, and translation and language services. Its trial practice covers jury research and consulting, case valuation, social media surveillance and trial presentation graphics.
Magna runs Snowflake, dbt, Python and Azure for data, C#/.NET, React and Node.js for applications, ML tools like PyTorch and Hugging Face, plus Salesforce, HubSpot and NetSuite for business systems.
Magna Legal Services is headquartered in Philadelphia, Pennsylvania, and hires within the United States.
Current initiatives include modernizing data infrastructure, standardizing ETL/ELT pipelines on Azure Data Factory and dbt, building a jury consulting software platform, and a Windows 11 upgrade.
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Magna Legal Services's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.