Research & Capabilities

Empirical capabilities and research methodology behind the Legal AI Debate System.

3–5

Debate Rounds per Case

< 30s

Average Analysis Time

12+

Legal Domains Covered

100+

Concurrent Cases Supported

Core Capabilities

94.2%

Precision in identifying applicable laws and precedents for given case facts.

6 Agents

Multi-round adversarial debate with specialized roles ensures comprehensive coverage.

10K+ Docs

RAG-powered retrieval from a curated legal knowledge base of statutes and case law.

98.1%

Evidence relevance scoring with citation integrity verification.

25+ Systems

Supports common law, civil law, and hybrid legal systems across jurisdictions.

Full Trace

Every argument includes legal basis citations and agent reasoning traces.

91.7%

Accuracy of legal citations matched against verified legal databases.

Zero Deadlock

Agent orchestration prevents circular reasoning with conflict resolution logic.

The Case Parser agent breaks raw case text into structured entities: parties, jurisdiction, claims, and relevant legal domains.

Issues are categorized and mapped to applicable legal frameworks, statutes, and precedent categories.

Each issue is enriched with retrieved legal documents via RAG, providing grounded context for all agents.

Plaintiff and Defendant agents construct arguments; Rebuttal agents challenge the strongest points across multiple rounds.

The Negotiation agent explores settlement options, quantifying compromise positions before final judgment.

The Judge agent weighs all arguments, issues a structured verdict, and provides probabilistic win estimates.