Legal Damages Calculator computes maximum recoverable damages for litigation cases. Given case facts, causes of action, jurisdiction, and evidence of harm, it produces a structured DAMAGES LEDGER per count with: statutory basis, damages type (actual/treble/punitive/fees), calculated amount, justification, and case law averages from similar winning dispositions.

Implements the DAMAGES MAXIMIZATION mandate: never understate, always stack all recoverable categories.

Intended Use

Primary: Generate damages calculations and ledgers for court filings
Secondary: Estimate case value for settlement negotiations
Integration: Called during GLACIER Stage 4 to produce damages sections in filings

Task Type

text-generation -- Structured output generation (damages ledger format)

Base Model

meta-llama/Llama-3.1-8B-Instruct -- Instruction-following capability for structured damages output

Training Data

Source	Records	Description
Jury Verdict Reporters	~500K verdicts	Actual damages awards by category and jurisdiction
Statutory Damages Tables	~5K entries	Statutory damages amounts (treble, penalties, fees)
Settlement Data	~200K	Settlement amounts by case type (anonymized)
Appellate Damages Opinions	~100K	Cases discussing damages calculations
Expert Witness Reports	~50K	Economic damages calculations from expert reports

Damages Categories

Actual/Compensatory: Lost wages, medical bills, property damage, economic loss
Consequential: Foreseeable downstream losses
Treble Damages: Where statute authorizes (e.g., FDUTPA, antitrust)
Punitive Damages: Where recoverable (with F.S. 768.72 leave in FL)
Statutory Penalties: Per-violation amounts (e.g., TCPA $500-$1500)
Attorney Fees: Fee-shifting statutes
Pre/Post-Judgment Interest: Statutory rates by jurisdiction
Daily Accrual: Continuing damages (per diem pain and suffering)

Output Format

COUNT 1: [Cause of Action]
  Statutory Basis: [statute]
  Actual Damages: $X (justification)
  Consequential: $X (justification)
  Treble: $X (statute authorizing)
  Punitive: $X (if applicable, with leave requirement noted)
  Fees: $X (fee-shifting statute)
  Interest: $X (rate, period)
  SUBTOTAL: $X
  Case Law Average (5+ similar cases, recency-weighted 2x): $X

Benchmark Criteria (90%+ Target)

Metric	Target	Description
Category Identification	>= 93%	Correctly identify all recoverable damages types
Statutory Basis Accuracy	>= 95%	Correct statute for each damages category
Amount Reasonableness	>= 88%	Within 25% of expert calculation
Stacking Completeness	>= 90%	Must not miss recoverable categories
Case Law Average Accuracy	>= 85%	Averages from real comparable verdicts

GLACIER Pipeline Integration

STAGE 2 (Research) --> damages-calculator identifies all statutory damages provisions
STAGE 4 (First Draft) --> produces DAMAGES LEDGER per count in filing
STAGE 5 (WDC #2) --> WDC validates damages calculations are maximal and accurate

Mandate: Every filing includes a DAMAGES LEDGER. Never aggregate across counts. Always stack: actual + consequential + treble + punitive + fees + interest + daily accrual.

Training Configuration

LoRA fine-tuning (r=16, alpha=32)
Epochs: 5
Learning rate: 1e-4
Max sequence length: 4096
Hardware: AWS SageMaker ml.g5.12xlarge

Limitations

Jury verdict data has survivorship bias (settled cases underrepresented)
Punitive damages are unpredictable; model provides ranges not point estimates
Economic expert calculations for complex commercial damages exceed model capability
Does not account for comparative fault reduction (separate calculation needed)

Version History

Version	Date	Notes
v0.1	2026-04-10	Initial model card, repo created