Symio-ai/legal-element-mapper

Model Description

Legal Element Mapper maps case facts to the required elements of each cause of action. Given a cause of action and the available facts/evidence, it produces a structured element-by-element analysis showing which elements are met, which are weak, and which require additional evidence.

Critical for GLACIER WDC Stage 3 theory validation -- ensuring every cause of action has factual support for every required element before drafting begins.

Intended Use

• Primary: Map facts to legal elements for pre-filing theory validation
• Secondary: Identify evidence gaps and guide discovery strategy
• Integration: Core component of GLACIER Stage 3 WDC "Legal Bench" troop

Task Type

text-generation -- Structured element analysis output

Base Model

meta-llama/Llama-3.1-8B-Instruct -- Strong reasoning for element-by-element analysis

Training Data

Source	Records	Description
Jury Instructions (all states)	~50K	Standard jury instructions defining elements
Restatements (2d, 3d)	~5K sections	Restatement definitions of causes of action
Pattern Jury Charges	~10K	FL, MS, and federal pattern jury instructions
Case Outcome Analysis	~500K	Cases with outcome mapped to element sufficiency
Summary Judgment Opinions	~200K	Opinions analyzing element-by-element sufficiency

Element Mapping Output Format

CAUSE OF ACTION: Negligence (FL)
STATUTE/AUTHORITY: Common law; see Prosser & Keeton on Torts

ELEMENT 1: Duty
  Status: MET
  Supporting Facts: [fact 1, fact 2]
  Supporting Evidence: [exhibit A, testimony B]
  Strength: 9/10

ELEMENT 2: Breach
  Status: MET
  Supporting Facts: [fact 3]
  Supporting Evidence: [exhibit C]
  Strength: 7/10

ELEMENT 3: Causation (proximate)
  Status: WEAK
  Supporting Facts: [fact 4 -- circumstantial]
  Gap: Need expert testimony on causation chain
  Strength: 4/10
  Recommendation: Retain expert before filing

ELEMENT 4: Damages
  Status: MET
  Supporting Facts: [fact 5, fact 6]
  Supporting Evidence: [medical records, lost wages docs]
  Strength: 8/10

OVERALL: 3/4 elements solidly met. Causation needs strengthening.
RECOMMENDATION: File with current evidence but prioritize causation expert in discovery.

Benchmark Criteria (90%+ Target)

Metric	Target	Description
Element Identification	>= 95%	Correctly identify all required elements for a COA
Status Accuracy	>= 88%	MET/WEAK/NOT_MET matches expert assessment
Gap Identification	>= 90%	Correctly identify missing evidence
Recommendation Quality	>= 85%	Actionable and legally sound recommendations
COA Coverage	>= 50 COAs	Support for 50+ common causes of action

GLACIER Pipeline Integration

STAGE 2 (Research) --> statute-parser feeds elements to element-mapper
STAGE 3 (WDC #1) --> element-mapper validates theory: "Are all elements supportable?"
STAGE 4 (Draft) --> element map structures the complaint allegations
STAGE 5 (WDC #2) --> verify each allegation in draft maps to an element

Training Configuration

• LoRA fine-tuning (r=32, alpha=64)
• Epochs: 5
• Learning rate: 1e-4
• Max sequence length: 8192
• Hardware: AWS SageMaker ml.g5.12xlarge

Limitations

• Complex multi-element causes of action (RICO, antitrust) are more challenging
• Novel causes of action not in training data will produce lower-quality mappings
• Evidence strength scoring is inherently subjective
• Does not replace legal judgment on whether to pursue a particular theory

Version History

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