Economics, strategy and technical expert consulting for litigation and antitrust
Keystone is an expert-services consultancy supporting litigation, antitrust and IP matters with economic and technical analysis. Its stack goes well beyond typical consulting tooling: Snowflake, Airflow, dbt and Spark sit alongside Bedrock and Vertex AI, plus VHDL, Verilog and FPGA skills that point to deep hardware and semiconductor litigation support. Accelerating, consulting-led hiring is paired with efforts to productize source code analysis and operationalize LLMs.
Notable leadership hires: Design Director, Director Engineering, Talent Development Lead
Keystone is a privately held strategy, economics and technology consulting firm founded in 2003 and headquartered in New York, NY. It works with global brands and law firms on matters spanning antitrust, intellectual property, competition and complex financial disputes. The firm pairs academic experts with industry practitioners to deliver economic analysis, data work and technical expertise. Keystone employs 201–500 people and hires across the United States, the United Kingdom and Australia.
Keystone uses Python, Snowflake, Apache Airflow, dbt, Apache Spark, Power BI, Tableau and Streamlit across AWS, GCP and Azure, plus Bedrock and Vertex AI for AI work, and NetSuite, Salesforce and Rippling for business operations.
Job posts point to productizing source code analysis tools, operationalizing machine learning models and LLMs, building reproducible data workflows, and expanding capital markets modeling and structured finance case analysis.
Keystone is headquartered in New York, NY, and hires in the United States, the United Kingdom and Australia, with consulting roles making up the largest share of its accelerating hiring.
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Keystone'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.