Worked example: Closing Cost in Texas

6 min read

Published April 15, 2026 • By DocketMath Team

Example inputs

Run this scenario in DocketMath using the Closing Cost calculator.

This worked example shows how DocketMath calculates closing cost using Texas jurisdiction-aware rules for US‑TX. The goal is to make the math and assumptions transparent—so you can rerun the calculation with your own numbers.

Because your jurisdiction data points to Texas Code of Criminal Procedure, Chapter 12, the relevant “default period” in this example is the general/default period, not a claim-type-specific one.

Note: No claim-type-specific sub-rule was found in the provided jurisdiction data. This example therefore uses the general/default period as the applicable time basis.

Scenario

Assume you’re modeling a closing-cost figure where the calculation uses a time period expressed in years (and that the calculator converts the period into months internally for cost timing).

You can reproduce the same structure in the closing-cost tool here: /tools/closing-cost.

Inputs you’ll see in the DocketMath closing-cost calculator (conceptually)

  • Jurisdiction: US‑TX (Texas)
  • Time period basis: Texas general/default period from Texas Code of Criminal Procedure, Chapter 12
    • General SOL Period: 0.0833333333 years
  • Monthly cost rate (your input): $450
  • Number of cost triggers (your input): 1
  • Any fixed fee component (your input): $250

What the “general/default period” means here

Your jurisdiction data specifies a general SOL Period of:

  • 0.0833333333 years

That value corresponds closely to 1 month because:

  • 1 year ≈ 12 months
  • so 0.0833333333 years × 12 ≈ 1 month

In this example, we treat the period as the “timing window” that drives the time-based part of the closing cost.

Statutory anchor (Texas)

The calculator’s period basis in this example is tied to Texas Code of Criminal Procedure, Chapter 12:

Example run

Let’s walk through a concrete run with the inputs above.

Run the Closing Cost calculator using the example inputs above. Review the breakdown for intermediate steps (segments, adjustments, or rate changes) so you can see how each input moves the output. Save the result for reference and compare it to your actual scenario.

Inputs used

  • Monthly cost rate: $450
  • Cost triggers: 1
  • Fixed fee: $250
  • Time basis: 0.0833333333 years (Texas general/default period per your jurisdiction data)

Step 1: Convert the time basis to months

  • 0.0833333333 years × 12 months/year = 0.9999999996 months

That is effectively 1 month for calculation purposes.

Step 2: Compute the time-driven component

Time-driven component = monthly cost rate × months × triggers

  • $450 × 1 × 1 = $450

Step 3: Add fixed fee component

  • Time-driven component: $450
  • Fixed fee component: $250
  • Total closing cost = $450 + $250 = $700

Result

DocketMath closing cost (Texas / US‑TX) = $700 for this example run.

To make the structure easy to audit, here’s the same calculation in a compact table.

ComponentFormulaValue
Time basis (years)Provided by jurisdiction data0.0833333333
Time basis (months)years × 12~1 month
Time-driven cost$450 × months × triggers$450
Fixed feeProvided input$250
Totaltime-driven + fixed$700

Sensitivity check

A worked result is more useful when you see how it changes as inputs move. Below are targeted sensitivity checks showing what drives the Texas output.

To test sensitivity, change one high-impact input (like the rate, start date, or cap) and rerun the calculation. Compare the outputs side by side so you can see how small input shifts affect the result.

1) Change the monthly cost rate (+$100)

Keep everything else the same (1 trigger, fixed fee $250, time basis still 0.0833333333 years ≈ 1 month).

  • New monthly rate: $550
  • Time-driven cost: $550 × 1 × 1 = $550
  • Total: $550 + $250 = $800

Impact: $700 → $800 (+ $100)

Interpretation: With the time basis held at ~1 month, the total is linearly sensitive to the monthly cost rate. Each $1/month change increases the time-driven component by about $1 in this setup.

2) Change the number of cost triggers (2 triggers)

Return to monthly cost rate $450 and fixed fee $250.

  • Triggers: 2
  • Time-driven cost: $450 × 1 × 2 = $900
  • Total: $900 + $250 = $1,150

Impact: $700 → $1,150 (+ $450)

Interpretation: Triggers scale the time-driven portion directly (here, doubling the triggers doubles the time-driven component).

3) Change the time basis (manual override for scenario modeling)

Your jurisdiction data provides the general/default period of 0.0833333333 years, and this example uses that value because no claim-type-specific sub-rule was found in the provided dataset.

However, for scenario modeling, you may want to see how the output changes if the time window differs. This is a modeling exercise (not a statement that a different legal period applies).

Assume:

  • Monthly cost rate: $450
  • Triggers: 1
  • Fixed fee: $250

Case A: 2 months (≈ 0.1666666667 years)

  • Time-driven cost: $450 × 2 × 1 = $900
  • Total: $900 + $250 = $1,150

Case B: 0.5 months (≈ 0.0416666667 years)

  • Time-driven cost: $450 × 0.5 × 1 = $225
  • Total: $225 + $250 = $475

Impact:

  • 1 month (default): $700
  • 2 months: $1,150 (+ $450)
  • 0.5 months: $475 (- $225)

Quick “what drives the total?” checklist

Use this checklist to sanity-check future runs:

Gentle note on interpretation (non-legal advice)

This example is designed to show how the DocketMath calculation behaves when fed jurisdiction-aware inputs. It is not legal advice and is not a determination about how any statute applies to a specific case or claim. If you use the output for planning or budgeting, keep the assumptions in view—especially the use of the Texas Chapter 12 general/default period due to the absence of a claim-type-specific rule in the provided data.

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