Your Future Starts Here

financial advisor icon


Quantifying the financial need of one spouse, financial means to pay for the other, and future income sacrificed for the marriage for either.

Further Details

Includes various templates and documented procedures to collect income and expense data from both client and spouse… and do so comprehensively, accurately, and quickly.  The income template includes about 40 prospective types of income defined in part by Virginia statute and expanded by Baron Analytics’ expertise.  Documentation includes questions to ask in Discovery and means to extract each element of income from Discovery.

Readily available models use this real data to create objective income and expense worksheets and cash flow tables to provide a detailed and objective estimate.

Customizable pivot tables and other financial forensics uncover and validate financial behavior and form the basis for demonstrative exhibits.

All products can be updated quickly (avoiding costs) as new discovery or new attorney guidance evolves.


financial advisor icon

Child Support

Estimating total parental income and other input factors; identifying and quantifying deviating factors.  Using statute guidelines to calculate payments.        

Further Details

Includes the same income templates, documentation and models used for Alimony services.  These resources most comprehensively represent income (and therefore, child support payments) for both client and spouse.

Readily available models use this data to calculate monthly child support payments quickly through standard guidelines and generate standard calculation exhibits.

Documented procedures guide how to collect and calculate other relevant inputs, such as per-person medical insurance costs and childcare for children from other partners.

Detailed market research, boilerplate reports, and economic models inform potential deviations allowed by statute, such as geographic equity for when parents reside in disparate geographies with different economies.

All products can be updated quickly (avoiding costs) as new discovery or new attorney guidance evolves.


financial advisor icon

Assets and Liabilities

Estimating values, risks, liquidity, cash flows and other client-important factors to compare the ‘apples’ and ‘oranges’ across the estate.                              

Further Details

Includes various templates and documented procedures to collect asset and liability data from both client and spouse.  Income template includes 10 different categories to landscape and segment these financial artifacts for maximum insight and clarity.  Documentation includes questions to ask in Discovery and means to extract each type of asset and liability from Discovery.

Experience enables Baron Analytics to estimate attributes for any variety of financial instruments, such as after-tax present value and financial risk.  This enables clients to make insightful and confident decisions through the negotiations and trial phases of settlement.  Many times, this service draws from other services, such as Co-Mingling of Property to baseline values and ownership.

With a clear and comprehensive model dashboard to account for all financial instruments across the estate, Baron Analytics effectively supports mediations by quickly quantifying the comparative virtues for client and spouse for any prospective or received proposal.  Baron Analytics can use its model to identify optimized proposals that maximize attributes that the client values most.

For trial, the dashboard creates detailed exhibits that clearly represent and quantify the pieces of an estate for effective testimony.

All products can be updated quickly (avoiding costs) as new discovery or new attorney guidance evolves.

financial advisor icon

Financial Behaviors

Finding hidden assets, quantifying marital asset dissipation, and characterizing frivolous/illegal financial behavior affecting marital assets.

Further Details

Includes the same income templates and documented procedures used by other services to collect income, expenses, assets, and liabilities from both client and spouse.  Documentation includes questions to ask in Discovery and means to extract each element of data from Discovery.

Customizable pivot tables and other financial forensics uncover and validate financial behavior and form the basis for demonstrative exhibits.  For example, Baron Analytics has used this technique to prove adultery, quantify hidden cash, and quantify dissipation of marital assets.

In addition to quantifying values and tallying anecdotes, Baron Analytics can perform “confidence analysis” that includes statistical assessment of the likelihood of randomness of an event.  This helps Judges recognize how definitive Baron Analytics’ estimates are.

All products can be updated quickly (avoiding costs) as new discovery or new attorney guidance evolves.

financial advisor icon

Co-Mingling of Property

Critiquing and tracing marital and separate equity in real estate and other financial instruments.                                  

Further Details

Includes various templates and documented procedures to collect asset and liability data from both client and spouse.  Different templates exist for real estate and for financial instruments.  Many accounting techniques exist for both real estate and financial instruments, and Baron Analytics maintains a library of techniques and case law.  Documentation includes questions to ask in Discovery and means to extract each element of data from Discovery.

Readily available forensic accounting models use this real data to create traces to calculate ownership values for client, spouse, and marital (both).  Models exist for different tracing techniques, such as direct accounting, Brandenburg, and Keeling.  Models document and easily change assumptions to enable attorneys to understand quickly the quantitative impact of different interpretations of case law.  Attorneys also can understand how much of a calculated trace value derives from individual contributions and withdrawals versus asset appreciation.

All products can be updated quickly (avoiding costs) as new discovery or new attorney guidance evolves.

financial advisor icon

Family Owned Business

Estimating and critiquing business value, and distinguishing business value from personal income and expenses.

Further Details

Includes various templates and documented procedures to collect business data.  

Models typically are custom-developed using any of several authoritative techniques that Baron Analytics has experience using to value start ups, small businesses, and major corporations.

All products can be updated quickly (avoiding costs) as new discovery or new attorney guidance evolves.

Our Focus is on Impact for You:  Sampling of Case Studies

Negotiated Alimony to Provide Client with Greater Income than Her Paying Spouse

Background:  Client’s income exceeded the per capita average for her geography and was about 80% of the value of her husband.  The family had built a significant savings, and both parties agreed that all assets were marital property, so she was assured of a large settlement.  Her husband asserted that she should receive no alimony because of her significant savings and solid income, and both attorneys were inclined to stipulate.  Client was retired and feared uncertainty and financial risk.  She requested alimony as a means to reduce her financial risk.  Her deteriorating health and consequences of living alone were major concerns.

Analytics:  Baron Analytics conducted a multi-year forensic of the client’s expenditures to create an Income & Expense worksheet and a cashflow analysis.  Baron Analytics also conducted extensive market research of senior care facilities. Baron Analytics presented market research at mediation, showing costs and statistics for senior care residences and services.  Opposing counsel argued that client (via Baron Analytics) was ‘gold platting’ estimated expenses.  However, Baron Analytics presented benchmark and statistical evidence to show that client’s estimates were modest by both local and national norms.  Opposing counsel could not produce any evidence to refute.

Impact:  Despite resistance from spouse, without a more credible counter-argument, he was forced to accept client’s terms for alimony.

  • Client received a lifetime alimony for the full value justified by Baron Analytics, effectively gaining her almost 10% more net income than her spouse.  Alimony terms were estimated to be worth nearly a $500,000 for a typical lifespan.
  • Baron Analytics recommended settlement terms to increase transparency and compliance.
Eliminated Lifetime Alimony Payments for Client

Background:  Client had divorced about a decade earlier.  At the time, his wife worked minimally outside of the home.  She was awarded a sizable indefinite alimony at settlement.  In the ensuing years, she established a career and moved to a lower cost rural town in another state.  After the oldest child emancipated, client asked his former spouse to revise alimony and child support.  She refused to do either.

Analytics:  Baron Analytics was retained to quantify justifications for adjusting both.  Baron Analytics used its income analysis model to refine and track discovery.  This model included over 40 income elements defined in part by Virginia statute, and a large number of these elements were ignored in the divorce settlement but added by Baron Analytics to this legal motion.  Baron Analytics provided an instruction guide and intake template to the client so he could perform much of his own data gathering to save costs.  Baron Analytics used its resident OCR tools to do similar  with great efficiency for the former spouse’s data.  All data was quality audited by Baron Analytics, associated with expense categories, and auto-generated into standard Income & Expense worksheets for both parties.  Baron Analytics then conducted a cash flow analysis of the former spouse to corroborate the results of her Income & Expense worksheet and assessed her spending patterns and behaviors.  Analysis concluded that her income had grown well over an order of magnitude faster than his.  And her income far exceeded her expenses (as opposed to his), and she progressively had adopted a more lavish lifestyle with more risky investments.  The Income & Expense worksheet that she produced for discovery presented much different and more dire results, so Baron Analytics highlighted and quantified key differences.  Baron Analytics conducted a geographic economics study to quantify the lower costs that she enjoys and explained why her income supported a greater standard of living than had she remained in state near her former spouse.  Baron Analytics testified as an expert in this trial.

Impact:  Baron Analytics’ testimony proved that its model results were more comprehensive and accurate than anything produced by the former spouse.  Baron Analytics’ demonstrative exhibits formed the basis for revisions to both child support and alimony.

  • Judge overruled opposing counsel’s objection of geographic equity analysis and recognized it as a a contributing factor, per Virginia statute.
  • Judge recognized Baron Analytics’ income estimates for both parties as most credible as a basis for revising child support and scrutinizing alimony.
  • Judge ended alimony and ordered the former spouse to reimburse client for payments in arears.
Significantly Revised Child Support

Background:  Former spouse received child support to help care for the parents’ multiple children  Monthly payments included an upward deviation expected to cover expensive activities that both parents described in their divorce trial.  However, client continued to pay half of activity expenses due to threat that the former spouse would cancel activities.  The oldest child emancipated.  Client also was the only parent saving for the children’s college expenses.  Client proposed a modest reduction of monthly child support payments to remove the upwards deviation and some considerations for the emancipated child.  Former spouse refused to cooperate at first and then insisted that she was due for an increase in child support.

Analytics:  Baron Analytics used its income model to guide research for over 40 income types identified by Virginia statute.  In doing so, Baron Analytics was able to create demonstrative exhibits to quantify and show that the former spouse’s income had grown noticeably closer to that of the client.  Then, Baron Analytics used its Financial Transaction database to ingest all financial transactions for client and spouse for the prior year.  This database connected to Baron Analytics’ Income & Expense (I&E) model and developed comprehensive I&E worksheets based on actual data for client and former spouse.  This provided evidence that the former spouse’s I&E worksheet did not follow her historical spending behavior and was able to identify and quantify key deviations.  By conducting a forensic analysis of the former spouse’s expenditures, Baron Analytics was able to quantify a significant discrepancy across multiple expense types for which the client was outspending the former spouse for the children’s expenses.  Baron Analytics also was able to show that the client was investing her child support payments rather than spending on the children.

Impact:  After conducting analysis and offering demonstrative exhibits for discovery, the calculus for negotiations changed.  Client was able to justify child support payments less than half of what he originally was offering.

  • After the former spouse received Baron Analytics’ exhibits, she renewed attempts to negotiate a settlement before trial.  She ultimately agreed to revised payments that were well below past payments and the client’s original offer.
  • In light of their contentious relationship, Baron Analytics conceived terms for the modification order that simplified and clarified financial responsibilities and avoided further litigation as the younger children emancipated.
Mediated a Majority Settlement for Client

 Background:  The family had built a significant and diverse savings portfolio.  Both parties agreed that all assets were marital property, but they disagreed strongly to what would constitute an equitable settlement.  Both earned similar income.  Both struggled to keep pace with discovery requirements, and the client’s spouse frequently ignored terms of their pendente lite ruling.  Client feared uncertainty and financial risk.  Both parties agreed to mediation, and Baron Analytics participated in person.

Analytics:  Prior to mediation, Baron Analytics gained Power of Attorney from client to collect and investigate financial assets to expedite discovery and avoid contempt of court.  All of this data was tallied in its Asset and Liabilities model to quantify and assess aspects including net present value, liquidity, cash flow and risk.  Baron Analytics used a number of financial best practices to corroborate values between different assets with different tax and payout provisions.  Baron Analytics corroborated with the client and attorney to prioritize desired assets and identify how her spouse may value assets differently.  In mediation, Baron Analytics used this model (and its dashboard) to maintain a real time comparison of net present value for proposed distributions of assets and liabilities.  Opposing counsel relied on calculator and paper and struggled to keep pace, so Baron Analytics established the foundation to assess all proposals and counter-proposals.  Client and her attorney controlled what and how dashboard data from this model were shared throughout mediations.  

Impact:  Though spouse and opposing counsel haggled and obfuscated throughout mediation, Baron Analytics was able to present an objective quantitative basis for every proposal or counter-proposal.

  • Client limited her financial risk by receiving an annuity and a sizable life insurance policy on her spouse with minimal impact on her share of other assets.
  • Client received 60% of the marital estate (despite her spouse claiming otherwise, based on his own layman’s assessment)
  • As anticipated, the client’s assets appreciated more than 20% in the ensuing year, while Divorce Order and QDROs were ratified.  Meanwhile, spouse’s assets appreciated at less than 5%.
  • Mediator (a retired Virginia Supreme Court Judge) concluded the mediation by announcing to the participants that mediation would not have achieved a conclusion and the parties would have been facing significant trial costs if not for the credible and expedient contributions of Baron Analytics.
Found and Gained Reimbursement for Money Hidden During Marriage

Background:  Client and spouse had been married for about two decades.  They first started pursuing a divorce about a decade earlier and then canceled and restarted the process several times in the ensuing years.  Spouse had boasted on several occasions that client would ‘receive nothing’ if they got divorced.  After the marriage further degraded, the couple filed for divorce, and this time, the client moved from the house.  

Analytics:  Baron Analytics collected three years of financial records from the spouse and input the data into its Financial Transaction database that is used to feed many of its financial models.  Baron Analytics noticed a pattern of cash withdrawals and conducted a full spend analysis, developing a multi-year assessment of monthly expenses and cash withdrawals.  Baron Analytics discovered a modest lifestyle dominated by fast food restaurants and limited purchases from discount merchants.  However, monthly cash withdrawals accounted for a significant portion of monthly debits.  Baron Analytics created demonstrative exhibits to explain the spouse’s pattern of cash withdrawals, compare their value to other financial behaviors, tally 3 years of withdrawals, and forecast likely was withdrawn in the prior years.  Baron Analytics conducted statistical and cash flow analysis to determine the likelihood that the spouse could have redirected a much larger portion of marital assets prior to the most recent three year period and concluded that the family may have generated enough cash for him to have continued his behavior for many years prior but did not generate enough cash for him to have significantly escalated is dissipation of marital assets.

Impact:  Spouse could not produce a sufficient alibi for withdrawing so much cash, in light of his otherwise modest lifestyle.

  • In mediation, spouse agreed to pay client nearly all of her marital share of the three years of cash withdrawals, if she would agree to not pursue the matter further.
Discredited Spouse's Hybrid Trace of Co-Mingled Assets

Background:  Client was married for over two decades, spanning most of his and his spouse’s working lives.  The spouse’s parents were wealthy and provided savings into her investment accounts before she was married.  The wife claimed that this pre-marital savings was the root of much of the family’s marital investments.  While married, the couple employed the spouse’s family member to invest their savings.  The family member moved the couple’s investments between over two dozen funds, including many that were opened and/or closed during the marriage.  The spouse claimed that nearly all of the funds were her separate property, and she should be awarded 90% of the value of these funds.  She provided a trace developed by her family member spanning the entire marriage to justify so.  The settlement process dragged on for nearly three years, and Baron Analytics was retained a few months before trial to critique the spouse’s trace.  By this point, the spouse had provided over twenty supplements to her discovery.

Analytics:  The first challenge was the large number of discovery supplements and the poor quality and misinformation reflected.  Baron Analytics created a worksheet to catalog which statements from which dates for which funds were included in which supplements.  After that, Baron Analytics assessed the spouse’s trace.  This first included a technical review of the spouse’s trace to identify techniques used and assumptions used.  These assumptions were documented and shared with the client’s attorney to identify possible legal challenges.  Then, Baron Analytics copied the dozens of .pdf pages from the spouse’s trace report into its own tracing model by using OCR software.  With this, Baron Analytics was able to model assumptions and then conduct a line by line audit to automatically validate the spouse’s math, recalculate values based on corrections, and flag issues.  

Impact:  Baron Analytics was able to provide a number of pointed exhibits for trial.

  • An exhibit showed that the spouse failed to produce evidence for the majority of deposits that she claimed to be her separate property.
  • An exhibit showed a significant number of deposits occurred during the ten-plus year timeframe that the spouse was home raising the kids while the husband was paying all marital expenses. 
  • An exhibit showed over two dozen errored line items in the spouse’s trace and flagged a significant withdrawal that the spouse made for herself after separation.
  • An exhibit visualized and quantified the complexity of twenty years of transactions, laying doubt to the practicality of considering any tracing of these assets.
  • An exhibit proportioned current asset balances versus marital deposits and withdrawals, separate deposits and withdrawals, and interest and appreciation.
  • Judged ruled that all funds were fully marital, awarding 50% of their value to the client.
Valued small business despite Spouse's lack of cooperation

Background:  A husband built a small business that grew rapidly, but the husband performed his own accounting and claimed large losses in his filed taxes each year.  As marital issues escalated and divorce appeared imminent, his declared business revenue tanked.  In interrogatories, the husband claimed the business was worthless.

Analytics:  Baron Analytics conducted a deep forensic accounting of the husband’s business and produced a business valuation.  Despite threats of sanctions, the husband would not cooperate and provide financial data requested in discovery.  In some cases, he claimed that the data did not exist.  Baron Analytics identified sources to subpoena, enabling the wife’s law firm to acquire needed point of sale data (from Square, Inc.) and expense data (from bank and credit card companies).  Baron Analytics ingested all data into databases and conducted industry research to add insightful characterizations to each line item.  Using advanced analytic models and techniques, Baron Analytics was able to prove that the husband’s accounting was flawed.  Significant cash payments were excluded from revenue, and many expenses were double-counted in his tax filings.  Baron Analytics created corrected income and assets worksheets and used analytic techniques such as regression to estimate missing values.  Baron Analytics used multiple valuation methods spanning income, asset, and market approaches to arrive at a business valuation.

Impact:  Despite data withheld and misrepresented by the husband, Baron Analytics was able to value the business and prove future viability.

  • Rather than no value or negative value, Baron Analytics proved that the business was worth hundreds of thousands of dollars.
  • Baron Analytics proved that very little value in the business was due to his “personal goodwill” (intangible assets), so his arguments that he no longer prioritized the business had little consequence on how much the small business could or should be valued.
  • Baron Analytics used management consulting techniques and market research to identify and justify business strategies that would allow the husband’s business to flourish, for any variety of the husband’s prospective role reductions.
  • Baron Analytics proved and quantified the potential upside for the business over the ensuing years.
Divorce Financial Analysis Services and Case Studies - Baron Analytics
Key to unlocking data


2316 Idylwood Mews Lane

Vienna, VA 22182


(703) 759 – 5859  office

(703) 868 – 5708  mobile