Advanced Legal Technology for Everyone

Built on cutting-edge AI/ML infrastructure and modern cloud architecture to make legal services accessible, affordable, and efficient for individuals and families. Engineered for reliability, security, and performance.

5.2M+
Documents Processed
47
ML Models in Production
99.97%
System Uptime
<100ms
API Response (P95)

AI & Machine Learning Infrastructure

State-of-the-art transformer models, custom-trained on German legal corpus

TechnologyImplementationPurpose
Large Language Models (LLMs)GPT-4, Claude 3.5, Llama 3.1 (fine-tuned)Document generation, legal reasoning, client communication
Transformer ArchitectureBERT, RoBERTa for German legal corpusContract analysis, clause extraction, risk assessment
Neural Machine TranslationMulti-lingual BERT, mBARTCross-lingual legal document translation
Retrieval-Augmented GenerationCustom RAG pipeline with PineconeLegal precedent search, case law research
Supervised Learning ModelsXGBoost, Random Forest, Neural NetworksCase outcome prediction, risk scoring

Machine Learning Performance

Production model accuracy and throughput metrics

ML CapabilityAccuracyVolumeUse Case
Document Classification96.8%1M+ docs/monthAutomatic case categorization
Named Entity Recognition94.2%500K entities/dayParty identification, date extraction
Sentiment Analysis91.5%200K texts/dayClient feedback analysis
Case Outcome Prediction87.3%10K predictions/monthSettlement recommendations
Contract Risk Scoring93.7%50K contracts/monthAutomated risk assessment

Backend Architecture

Application Framework
Node.js, Express, NestJS
API services, microservices architecture
Programming Languages
TypeScript, Python, Go
Application logic, ML pipelines, performance-critical services
API Architecture
REST, GraphQL, gRPC
Client-server communication, inter-service communication
Message Queue
Apache Kafka, RabbitMQ
Event-driven architecture, async processing
Caching Layer
Redis, Memcached
Session management, API response caching

Data Infrastructure

Databases
PostgreSQL (primary), MongoDB (documents)
Transactional data, case documents
Vector Database
Pinecone, Weaviate
Semantic search, embedding storage
Data Warehouse
Snowflake
Analytics, business intelligence
ETL Pipeline
Apache Airflow, dbt
Data transformation, pipeline orchestration
Search Engine
Elasticsearch
Full-text search, document indexing

System Performance Benchmarks

Real production metrics demonstrating reliable, professional-grade service

API Response Time
<100ms
95th percentile
Real-time user experience
Document Processing
2,000/min
Peak throughput
High-volume case handling
ML Model Inference
<50ms
Average latency
Instant AI predictions
System Uptime
99.97%
Last 12 months
24/7 availability
Database Query Performance
<10ms
P95 read queries
Fast data retrieval
Concurrent Users
50,000+
Tested capacity
Scalability

Cloud Infrastructure

Cloud Provider
AWS (primary), Google Cloud (ML)
Compute, storage, managed services
Container Orchestration
Kubernetes (EKS)
Container management, auto-scaling
CI/CD
GitHub Actions, ArgoCD
Automated testing, deployment
Infrastructure as Code
Terraform, CloudFormation
Infrastructure provisioning, version control
Monitoring & Observability
Datadog, Prometheus, Grafana
Performance monitoring, alerting

Security & Compliance

Authentication
OAuth 2.0, JWT, WebAuthn
Secure user authentication
Encryption
AES-256 (at rest), TLS 1.3 (in transit)
Data protection, secure communication
Secrets Management
AWS Secrets Manager, HashiCorp Vault
API keys, credentials management
Compliance
GDPR toolkit, automated audit logs
Regulatory compliance, data governance

Operating at Scale

Platform metrics demonstrating production-grade infrastructure

5.2M+
Legal Documents Processed
+140% YoY
12M+
Training Data Points
Continuously expanding
2.5M+
API Requests/Day
+85% YoY
47
Active ML Models
12 new models in 2024
100M+
Vector Embeddings Stored
Semantic search corpus

Why Our Tech Stack Matters

Production-Ready AI at Scale

47 ML models in production, processing 2.5M+ API requests daily. Our infrastructure handles peak loads while maintaining sub-100ms response times—critical for real-time legal assistance.

German Legal Corpus Specialization

Custom-trained transformer models on 12M+ German legal data points. Unlike generic LLMs, our models understand German legal nuances, terminology, and procedural requirements.

Security & Data Protection

AES-256 encryption, GDPR-compliant data handling, and comprehensive security controls protect your sensitive legal information. Professional-grade security ensures your personal data, case details, and documents remain private and secure.

Kubernetes-Native Architecture

Auto-scaling microservices on EKS handle traffic spikes seamlessly. Zero-downtime deployments, canary releases, and automated rollbacks ensure 99.97% uptime.