advanced technical computation platform for civil and family law litigation
advanced technical computation platform for civil and family law litigation
Home 2018-03-24T09:02:46+00:00

D3 Analyzer

Dissolution of Marriage

D3 Analyzer provides a comprehensive software platform and interface for running various financial computations on high-asset, high-earner, and/ or other types of complex dissolutions of marriage. D3 Analyzer is based on original, interdisciplinary research in the areas of data science and visualization, decision theory, predictive modeling, behavioral science, and complex family law.  The input consists of data points from documents such as bank statements, tax filings, business financial reports, and similar matter. The output consists of (1) stunning, effective, high-resolution, and interactive graphs and charts; and (2) proposed property divisions, reimbursements and offsets, support, attorney fees, and other figures that are all justified by the underlying data.  In addition, we are experimenting with machine learning and computer vision to automatically map financial transactions shown on bank statements and canceled checks for tracing purposes.

Features

D3 Fusion

General Civil Litigation

D3 Fusion is a similar platform for general civil litigation, permitting technical computations in the areas of economic damages such as lost profits, wage loss, lost earning capacity, and complex interest calculations, as well as the visualization of commonly presented information in trials (chronologies, time-event charting, etc.). D3 Fusion is for a more general audience and will have a subset of features of D3 Analyzer plus other components relevant to civil litigation, such as word cloud generation from document productions, document mapping and attribution, semi-automated chronologies, statistical analyses, and other advanced features.  We also plan to integrate predictive modeling of decisions based on multivariate regression of factors that have proved relevant to court and jury decisions in actual cases, such as parties’ personality traits, opposing counsel ratings, judicial officer temperament and past decisions, and more.

Features