Why Structured Settlement results differ in Georgia

The top 5 reasons results differ

Run this scenario in DocketMath using the Structured Settlement calculator.

If you run the same structured-settlement scenario in DocketMath for Georgia and see different outputs, it typically comes down to how the calculator applies (or how you enter) Georgia-aware timing assumptions and financial inputs. Below are the most common drivers of “different results” when the jurisdiction is Georgia (US-GA).

1) The statute of limitation (SOL) cutoff affects the modeled filing window

Georgia’s general/default SOL period is 1 year, governed by O.C.G.A. § 17-3-1. DocketMath uses that timing framework when you model timing-related assumptions (for example, translating a “could-have-been-filed” deadline into an allowable window that affects valuation timing inputs).

Important: no claim-type-specific sub-rule was found for this discussion, so the 1-year general/default period is the baseline here, not a specialized alternative.

• Georgia general SOL (baseline for this post): 1 year under O.C.G.A. § 17-3-1
  Source: https://law.justia.com/codes/georgia/2021/title-17/chapter-3/section-17-3-1/?utm_source=openai

2) You entered different “start dates” (filing event vs. approval vs. first payment)

Structured settlement results can shift when your runs use different date anchors, such as:

• the date suit would have been filed (or effectively “latest filing”),
• the settlement/approval date, vs.
• the first payment commencement date.

Because the valuation depends on how long cash flows sit in the future, small date differences can produce noticeably different present-value results in DocketMath.

3) Discount/interest assumptions differ (or are inconsistent with the payout pattern)

Even if the payout schedule looks identical, changing the discount rate / interest assumption will change the present value that DocketMath calculates.

Examples of how this creates mismatch:

• One run assumes 2.0%, another assumes 3.5% → the present value will differ.
• If you intended to compare “apples to apples,” but the rate setting is different, the outputs will not match.

4) Payment cadence and timing within the year don’t line up

Two plans can have the same total number of payments but still differ if cadence or timing logic differs, such as:

• monthly vs. quarterly vs. annual payments,
• whether the first payment is immediate or delayed by a set number of months,
• whether the model treats payments as end-of-period vs. beginning-of-period.

Those timing distinctions change how far each installment is from the valuation date, which affects discounting.

5) You compared different output metrics (nominal total vs. lump-sum/present value)

Sometimes the “different results” aren’t a problem—they’re a comparison mismatch. Runs might be compared using different metrics, like:

• total nominal payments (sum of scheduled payments), versus
• a lump-sum / present value equivalent (discounted value).

Those are different by design, so consistent runs can still “disagree” if you’re not comparing the same metric.

How to isolate the variable

To pinpoint why results differ, use DocketMath for controlled comparisons where you change one input group at a time and keep everything else fixed.

1. Lock the jurisdiction

   • Set the tool to US-GA for every run.

2. Freeze the payout schedule

   • Keep the same payment amounts, number of payments, and cadence (e.g., 60 monthly payments).

3. Change only the date anchor

   • Run three scenarios:

     • Run A: the earliest plausible “start” date you’re modeling
     • Run B: the settlement approval date
     • Run C: first payment commencement date

4. **Change only the timing logic (if DocketMath exposes it)

   • If DocketMath has toggles for “first payment timing” / schedule anchor behavior, adjust only that setting while keeping all other financial inputs constant.

5. Change only the discount/interest assumption

   • Re-run using two different rates while holding date anchors and cadence constant.

Quick checklist (copy/paste)

To jump straight into the analysis, start with the calculator here: /tools/structured-settlement.

Next steps

• Document the inputs you used (date anchor, discount/interest assumption, cadence, and which metric you compared).
• Confirm the SOL baseline used in your run: for this content, Georgia’s baseline is the 1-year general/default SOL under O.C.G.A. § 17-3-1 (since no claim-type-specific sub-rule was identified for this discussion).
• Run a “delta review”: for each pair of runs, ask: “What changed between Run 1 and Run 2?” Then map that change directly to:

  • dates,
  • cadence,
  • discount/interest assumptions,
  • or the metric being reported.

If you standardize your inputs in DocketMath first, you can usually identify the exact source of the discrepancy quickly.

Related reading

• Structured Settlement Calculator Guide for Alabama
• Structured Settlement Calculator Guide for Arizona
• Structured Settlement Calculator Guide for Colorado