Data Mining & Analytics

Innovative Analytics Paired with Leading Techniques

Gryphon’s data mining and analytics team combines outside-the-box thinking with industry standard techniques to solve complex data needs and address the unique questions that our legal, government, financial, and nonprofit partners seek to answer.

For our legal clients, we work closely with counsel throughout the litigation process, beginning from data discovery all the way through deposition and trial preparation. Our ability to extract, combine, analyze, and visualize data from structured and unstructured sources is unsurpassed. The finished product is a compelling narrative that illustrates the data with clarity, accuracy and unbiased insight.

For hedge fund, private equity, and other investment clients, our team builds customizable platforms using predictive analytics and machine learning that can be used to identify new investment opportunities and minimize investment-related risk.

Gryphon has particular expertise working alongside government and nonprofit clients to collect, analyze and interpret complex information, and leverage public datasets so that we can equip our clients with the information necessary to advocate and advance public policy interests.

Our work has earned us the enduring trust of:

  • High stakes litigators and Am Law 200 firms
  • Federal and state government agencies
  • Investment firms (Private Funds, Traditional, Private Equity)      
  • Multinational corporations
  • Nonprofits

Powering Clients with Intelligence and Insight

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Case Studies

Leveraging Public Datasets to Identify Investment Opportunities

A hedge fund engaged Gryphon to help identify commercial real estate investment opportunities in New York City.

Using real estate records, mortgage information, liens, court filings, and information about the owners and principals of properties, Gryphon created an easy-to-use tool for the client to find properties of interest. Gryphon compiled data from over 20 public datasets and also built automated processes into the tool capable of updating it as new data became available. Combining these datasets required careful entity resolution in order to trace entities such as buildings and individuals across datasets while working closely with the client to identify the information most relevant to their investment needs.

As a result of our investigation, the client was able to successfully launch and close an investment fund that raised hundreds of millions of dollars.

Implementing Compliance Metrics for Government Entities

Working closely alongside outside counsel and a state office of the attorney general, Gryphon worked to demonstrate that compliance requirements were not being fulfilled by certain companies that were selling products in the state that were considered a potential danger to public health.

After an intensive review of hundreds of documents, Gryphon identified algorithms that companies had developed in order to perform their internal compliance. We then recreated these metrics and implemented them on historical datasets that could have been available to the company at the time their metrics were active. The purpose of the investigation was to assess how the product volume that was identified by the companies’ compliance metrics compared to the product volume that could have been identified by the same metrics when implemented on the available data.

Our investigation found that the product volume that companies could have identified using the available data as being in violation of their own compliance algorithms was not equal to the product volume that they ultimately identified in their reporting.

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