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Symio-ai/legal-element-mapper

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Model Card

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

SourceRecordsDescription
Jury Instructions (all states)~50KStandard jury instructions defining elements
Restatements (2d, 3d)~5K sectionsRestatement definitions of causes of action
Pattern Jury Charges~10KFL, MS, and federal pattern jury instructions
Case Outcome Analysis~500KCases with outcome mapped to element sufficiency
Summary Judgment Opinions~200KOpinions 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)

MetricTargetDescription
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 COAsSupport 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

VersionDateNotes
v0.12026-04-10Initial model card, repo created