Symio-ai/legal-red-team

Model Description

Legal Red Team simulates opposing counsel's response to any legal filing or theory. Given a draft filing or legal argument, it generates: anticipated objections, motion to dismiss arguments, affirmative defenses, weaknesses in the factual record, case law that opposing counsel will cite, and procedural attacks.

Powers the adversarial review stage of the GLACIER WDC (War-room Deliberation Council) panel.

Intended Use

• Primary: Generate adversarial critique of legal filings before they are filed
• Secondary: Anticipate opposing counsel arguments for strategic preparation
• Integration: Core component of GLACIER Stage 3 and Stage 5 WDC panels

Task Type

text-generation -- Adversarial analysis and counter-argument generation

Base Model

meta-llama/Llama-3.1-8B-Instruct -- Strong reasoning for adversarial analysis tasks

Training Data

Source	Records	Description
Motion to Dismiss Responses	~200K	Defense MTD arguments with outcomes
Opposition Briefs	~300K	Defense opposition to plaintiff motions
Appellate Reversal Opinions	~100K	Cases where the trial court was reversed (error analysis)
Deposition Cross-Examination	~50K	Adversarial questioning transcripts
Bar Complaint Decisions	~20K	Cases showing attorney misconduct/failure

Red Team Output Categories

• Procedural Attacks: Jurisdiction, standing, statute of limitations, failure to state a claim
• Factual Weaknesses: Missing evidence, contradictions, credibility issues
• Legal Theory Attacks: Wrong standard, misapplied law, superseded authority
• Damages Challenges: Speculation, lack of causation, mitigation failure
• Strategic Vulnerabilities: Discovery exposure, deposition traps, summary judgment risk
• Counter-Authorities: Cases opposing counsel will cite

Output Format

RED TEAM ANALYSIS:
  Overall vulnerability score: X/100

  CRITICAL (must address before filing):
  1. [Issue] -- [attack vector] -- [counter-authority] -- [recommended fix]

  MODERATE (should address):
  1. [Issue] -- [attack vector] -- [recommended fix]

  LOW (be aware):
  1. [Issue] -- [potential exposure]

  OPPOSING COUNSEL LIKELY RESPONSE:
  [Simulated opposing brief/motion structure]

Benchmark Criteria (90%+ Target)

Metric	Target	Description
Attack Coverage	>= 90%	Identify 90%+ of vulnerabilities found by human review
Critical Issue Recall	>= 95%	Must catch dispositive vulnerabilities
Counter-Authority Accuracy	>= 88%	Cited counter-authorities must be real and relevant
False Alarm Rate	<= 15%	Must not overwhelm with low-value critiques
Human Agreement	>= 85%	Agreement with expert red team review

GLACIER Pipeline Integration

STAGE 3 (WDC #1) --> red-team attacks the legal theory before drafting begins
STAGE 5 (WDC #2) --> red-team attacks the actual draft text

WDC Role: The Legal Red Team troop in the mcp-troops deployment. Works alongside Legal Strategist and Legal Bench troops. The Red Team must score below 30 critical issues for the draft to pass the WDC gate.

Training Configuration

• LoRA fine-tuning (r=32, alpha=64) -- higher rank for complex reasoning
• Epochs: 3
• Learning rate: 5e-5
• Max sequence length: 8192
• Hardware: AWS SageMaker ml.g5.12xlarge

Limitations

• Adversarial analysis quality depends on the completeness of input (facts, evidence, law)
• May miss novel legal theories not represented in training data
• Cannot predict specific judge behavior (see legal-judicial-predictor for that)
• Overconfidence in some attacks that experienced attorneys would dismiss
• Does not account for local court culture or informal practices

Version History

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