text-generation -- Adversarial analysis and counter-argument generationmeta-llama/Llama-3.1-8B-Instruct -- Strong reasoning for adversarial analysis tasks| 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 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]| 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 |
STAGE 3 (WDC #1) --> red-team attacks the legal theory before drafting begins
STAGE 5 (WDC #2) --> red-team attacks the actual draft text| Version | Date | Notes |
|---|---|---|
| v0.1 | 2026-04-10 | Initial model card, repo created |