The Technology Behind SPEED AI™
Powering the Future of Legal Intake Intelligence
At SPEED AI, we’ve built something unprecedented: a purpose-built artificial intelligence agent specifically engineered for legal intake analysis. Our proprietary technology stack combines advanced speech recognition, deep semantic understanding, and predictive analytics into a unified platform that fundamentally transforms how law firms identify, evaluate, and capture high-value cases.
Unlike generic AI solutions retrofitted for legal applications, SPEED AI was designed from the ground up to understand the nuances of client interactions, recognize case value indicators, and identify missed opportunities that human operators often overlook. Our system doesn’t just analyze calls — it intuitively understands the complex interplay of legal, medical, and emotional factors that determine case potential.
Developed by a team of legal technology experts and AI specialists, our platform represents the convergence of cutting-edge machine learning and years of legal intake expertise. The result is a technological breakthrough that delivers measurable ROI while seamlessly integrating with your existing workflows.
Proprietary Speech Recognition Engine:
Legal-Specific Acoustic Model
Trained on over 100,000 hours of law firm intake calls.
94.7% Accuracy
Even for complex legal terminology and case descriptions.
Multi-Party Voice Fingerprinting
Distinguishes between intake staff and potential clients.
Regional Dialect Adaptation
For accurate transcription across all US regions.
Multi-Party Voice Fingerprinting
Accurately distinguishes between intake staff and potential new clients.
Audio Signal Enhancement
Filters background noise for accurate analysis, even in noisy environments.
Global Language Processing
Currently supports 102 languages.
Paralingual Pattern Recognition
Detects emotional states and call sentiment.
Semantic Understanding Framework:
32-Point Analysis Matrix
Developed specifically for legal intake evaluation.
Injury Classification System
Categorizes severity based on description patterns for Case Quality Analysis.
Treatment Protocol Identification
Tracks medical care patterns for Case Quality analysis.
Liability Signal Detection
Determines fault and liability for Case Quality assessment.
Security:
Military-Grade Encryption
For all data at rest and in transit.
ZDS Processing
Zero Data Storage for call analyses after our models produce an analysis.
Privilege Preservation Protocol
Our model and software were designed from day 1 to protect attorney-client privilege.
Granular Access Control System
Uses role-based permissions and high-entropy cryptographically secure access control.
Adaptive Learning Core:
Firm-Specific Model Calibration
Our model can be tailored to your desired case types and fact patterns.
Reinforcement Learning System
Our model improves based on your feedback on lead rescues and case criteria.
Smart Coaching System
Generates tailored training recommendations specific to each agent.
Precision-Weighted Scoring
Ensures our model only outputs analyses with 95%+ confidence.