About Us

Lawrence W. Beall graduated from Claremont McKenna College, with a bachelor’s degree in History. Alongside this liberal arts education, Mr. Beall took courses in the sciences, economics, statistics, and computer science. During his studies and post-college, Mr. Beall worked as a computer programmer, artist, published author, and later as a manufacturing executive.

Mr. Beall received his law degree from Loyola Law School. During law school, Mr. Beall began his work in class actions at the Elder Law and Disability Rights Center.

During Mr. Beall's legal career, he focused on Wage and Hour class action and PAGA cases–making a name for himself as a determined litigator at Justice Law Corporation, and later King & Siegel LLP. While working on his cases, Mr. Beall leveraged his unique background in technology and analytics to develop custom software tools and perform data analysis to secure better results for his clients. Beall realized that his detailed approach to data-analysis was a substantial part of why his cases settled for higher values–finding theories and violations in the data that experts miss. After a few years doing this, Mr. Beall founded AttorneyTalk so he could share his data-centric approach to help attorneys better estimate the damages in their cases.

In his free time, Mr. Beall enjoys traveling, creating art, and designing board games.

Chau Tran graduated with a Bachelor of Arts degree from the University of Utah. In addition to her formal education, Ms. Tran pursued further professional development by completing courses in statistics for data science and business analysis, Google Analytics, advanced Excel formulas, and VBA user-defined functions.

Ms. Tran has worked in data analysis for over 15 years, with more than 10 years of specialization in compensation data, and has even taught 8th-grade math at an urban school in Austin, Texas.  She was the office manager of the Texas branch of a national litigation firm for nearly 4 years, during which she successfully performed data analysis and processed civil actions across the entire state of Texas in various court systems, from justice of the peace courts to appellate courts. Although she has always loved math, Ms. Tran found her passion for data at that law firm. She moved on to become a senior data analyst for the next 9.5 years, supporting compensation studies for school districts and community college systems throughout Texas, before expanding her role and reach to assist organizations in the public sector and higher education spaces across the United States with compensation analysis and design. 

In her free time, Ms. Tran enjoys puzzles, traveling, art, writing, and movies.

Manisha S. Magal graduated from the University of California, Santa Cruz, with a Bachelor of Arts degree in Business Management Economics, with coursework in International Trade Strategy, Macroeconomic theory, and Econometrics. During her studies, Ms. Magal worked as a research fellow at the Koret Scholarship Foundation and the Building Belonging Program. 

Ms. Magal received her Master’s degree in Business Analytics from the University of California, San Diego, with coursework in Analyzing Large Data and Customer, Pricing, Business, and Supply Chain Analytics. As she completed her coursework, Ms. Magal had the opportunity to work at the UCSD Emergency Department as an optimization intern. By applying Discrete Event Simulation and Agent-Based Modeling, Ms. Magal and her team reduced bed wait times in the department by 15%. Ms. Magal was also awarded the chance to create a robust predictive model (employing Random Forest, Neural Network, and Logistic Regression) that would assess an individual’s risk for developing (and that same individual’s ability to survive) lung cancer.

In her free time, Ms. Magal is an avid reader and amateur baker; she also enjoys swimming, painting, and playing the violin.