Litigation support and trial consulting for law firms and corporations
Magna Legal Services operates a full-stack litigation support business—court reporting, e-discovery, trial strategy, and expert consulting—for law firms, in-house counsel, and government agencies. The tech stack reveals active infrastructure modernization: a Python + TensorFlow + PyTorch foundation paired with Snowflake + dbt + Azure Data Factory, suggesting they're building internal analytics and potentially AI-driven case assessment tools. Hiring is legal-heavy (17 legal roles) with a secondary engineering push (2 engineering roles plus dbt/Snowflake projects), indicating parallel investment in domain expertise and data infrastructure maturity.
Magna Legal Services provides litigation consulting and support services across the full case lifecycle—from initial discovery through trial—to law firms, corporations, and government agencies nationwide. The core service lines include court reporting (real-time and transcript management), e-discovery and document management, jury consulting and trial strategy, and ancillary services such as case valuation, record retrieval, and language services. Headquartered in Philadelphia with 501–1,000 employees, Magna has been operating since 2007. Current operational focus spans data warehouse modernization, internal reporting dashboards, recruiting scale, and expanding service coverage into new litigation domains.
Core tools: Python, TensorFlow, PyTorch, Hugging Face, scikit-learn, Azure, .NET, Snowflake, dbt, Salesforce, HubSpot, Marketo, Outreach, Adobe Suite, NetSuite. Recently adopting Cursor for development workflows.
Philadelphia, PA. The company hires exclusively in the United States. Founded in 2007, it operates as a privately held firm with 501–1,000 employees.
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.