Data Analytics for Healthcare Fraud Defense
In this era of big data, critical evidence that can determine a case's outcome may reside within overlooked spreadsheets or documents. Stephen harnesses the power of data analytics and his extensive experience to analyze and utilize data as a cornerstone of his defense strategies.
With a track record spanning both prosecution and defense roles, Stephen's proficiency in data analytics is unusual among lawyers. In numerous investigations, Stephen has conducted data analytics before trial and even during trial, sometimes even teaching juries how to use Microsoft Excel so they can understand his analysis. One time, he even utilized Microsoft Excel in a closing argument to emphasize a crucial point that no witness could have testified about.
During his tenure as a federal prosecutor, Stephen played a pivotal role in training agents and attorneys in data analytics. His influential article, 'How to Build A Smoking Gun,' initially published in the United States Attorneys’ Bulletin, remains a respected resource for maximizing the effectiveness of data and documents in investigations and cases.
As a defense lawyer, Stephen Chahn Lee meticulously examines data to assess whether the government has appropriately utilized it throughout its investigation. His expertise in data analysis allows him to identify discrepancies and inconsistencies that may undermine the prosecution's case.
In one instance, Stephen discovered that the government had misinterpreted its data, leading to errors throughout its indictment. He also used the government’s data to undercut patterns that fact witnesses claimed but were not reflected in the data. In another case, he identified significant flaws in the government’s use of peer comparisons, partly by acquiring additional data through requests and subpoenas to provide context for the government's data.
Stephen’s approach to data analytics involves seamlessly integrating data into legal strategy, ensuring each case is thoroughly supported and robust. This approach sets a new standard for the contemporary integration of data in legal practice.
Data Analytics FAQs
-
Drawing upon his experience in utilizing data analytics across multiple healthcare fraud cases, Stephen has the ability to uncover patterns, trends, and insights that may elude other attorneys. This skill allows him to transform raw data into a potent tool for constructing compelling legal arguments and identifying crucial evidence.
-
Statistical sampling presents a method for efficiently analyzing large datasets to detect patterns or irregularities, offering a solid foundation for conclusions while effectively managing resources, particularly in complex cases. While the government isn't obligated to employ statistical sampling in its cases and retains the freedom to cherry-pick, defense lawyers should remain cognizant of this strategy and contemplate methods to counter improper extrapolations, including the utilization of statistical sampling themselves.
-
Absolutely.Data analytics is pivotal in criminal cases, providing evidence-based insights that can either support or contest claims. This fosters more informed decision-making and enables the formulation of stronger case strategies.
-
Stephen's journalism background has finely honed his skills in investigative research and critical analysis, enabling him to approach data with precision and uncover the narrative behind the numbers. This expertise seamlessly translates into legal contexts, where he adeptly utilizes data to bolster case strategies. Throughout his journalism career, Stephen self-taught data analysis techniques, recognizing their applicability to legal practice. Subsequently, he has leveraged data analytics in both civil and criminal cases, including providing counsel to a Fortune 100 company based on insightful data analysis.
-
Many lawyers jest that they entered the legal profession because of a dislike or perceived inadequacy in math. However, in the era of big data and with the increasing evidentiary value of spreadsheets and data, this joke falls flat. Stephen observes that some of the challenges include attorneys’ lack of experience in data analytics, delaying data analytics until it's too late in the case, and a general resistance to adopting new technologies and methodologies in legal workflows.
Contact Stephen Lee Law for help with Healthcare Fraud Data Analytics.
Rookery Building
209 S. LaSalle Street, Suite 950
Chicago, IL 60604