World's Most Accurate AI Legal Checker
Machine Text Detection: No Tool Is Safe
It doesn't matter if your machine-generated text came from Harvey, Clio, CoCounsel, ChatGPT, Claude, or any other tool—CiteStrike detects their hidden watermarks.
Our forensic algorithms detect the underlying linguistic patterns and digital fingerprints that all machine-learning systems leave behind, regardless of the vendor or sophistication level.
CiteStrike's GPT Content Detection employs advanced linguistic pattern analysis to identify AI-generated text with unprecedented accuracy. Our algorithms examine document structure, semantic patterns, and syntactic fingerprints that reveal machine authorship.
Complete AI Detection: This analysis focuses on content patterns and writing style. For document formatting analysis and spacing variance detection, see our Watermark Analysis capabilities.
Advanced Linguistic Pattern Analysis
CiteStrike's AI detection algorithms analyze writing patterns, syntax structures, and semantic relationships to identify machine-generated content with unprecedented accuracy.
What It Analyzes:
- • Sentence complexity and variation patterns
- • Vocabulary usage and repetition signatures
- • Logical flow and argument structure
- • Writing style consistency markers
Why It Matters:
- • Identifies AI content across all platforms
- • Works regardless of prompt engineering
- • Provides defensible forensic evidence
- • Detects sophisticated AI evasion attempts
How AI Content Detection Works
Multi-Dimensional Analysis
- Lexical Diversity Analysis: Measures vocabulary richness, word frequency patterns, and repetition signatures typical of AI generation
- Syntactic Complexity Scoring: Analyzes sentence structure variations, grammatical patterns, and parsing complexity
- Semantic Coherence Evaluation: Evaluates logical flow, contextual consistency, and argument structure quality
- Stylistic Fingerprinting: Detects artificial writing style patterns, tone consistency, and voice markers across different AI models
- Perplexity Assessment: Measures text predictability patterns that distinguish human creativity from machine generation
Pre-2023 Document Rule
Documents created before November 2022 (ChatGPT's release) automatically receive capped AI likelihood scores of 15% maximum. This forensic rule recognizes that widespread AI content generation was technologically impossible before this date.
Example: A legal brief with metadata showing creation date of January 2022 cannot exceed 15% AI likelihood, regardless of writing patterns.
Vendor-Agnostic Detection
Our algorithms identify AI-generated content regardless of the source platform:
Legal AI Tools:
- Harvey AI
- Clio Copilot
- CoCounsel (Thomson Reuters)
- LexisNexis+
- Westlaw Edge AI
General AI Platforms:
- ChatGPT (all versions)
- Claude (Anthropic)
- Google Bard/Gemini
- Microsoft Copilot
- Custom fine-tuned models
Detection Metrics & Scoring
AI Likelihood Score (0-100%)
Pattern Indicators
- Unnatural sentence transitions and paragraph flow
- Repetitive phrase structures and vocabulary choices
- Inconsistent legal terminology usage patterns
- Statistical anomalies in word frequency distribution
Technical Implementation
Advanced Algorithms
Perplexity Analysis: Measures text predictability patterns that distinguish human creativity from machine-generated content
Burstiness Detection: Identifies artificial uniformity in sentence complexity and natural variation patterns
Semantic Embedding: Analyzes meaning distribution patterns and conceptual relationships across document sections
Contextual Coherence: Evaluates logical consistency, argument structure quality, and narrative flow
N-gram Analysis: Examines word sequence patterns and phrase construction typical of different AI models
Your Professional Protection
Court Acceptance: Forensic-grade analysis provides defensible documentation of document authenticity
Ethical Compliance: Demonstrates due diligence in verifying document sources and authorship
Risk Mitigation: Early detection prevents sanctions, malpractice claims, and professional discipline
Quality Assurance: Ensures human oversight of all legal work products before filing