Features
Train Word2Vec, Doc2Vec, FastText models
Latent Semantic Analysis (LSA/LSI) training
Latent Dirichlet Allocation (LDA) training
Data streaming for arbitrarily large corpora
Similarity queries: most_similar, similarities
Pre-trained models via Gensim-data
Parallelized C routines for high performance
Cross-platform: Linux, Windows, macOS
Supports Python 3.8 to 3.11
Smart_open for remote storage access
Open-source (GNU LGPL license)
Commercial support available
Readable and extensible codebase
Quick-Start Drafting for legal documents, clauses, emails, contracts
Comprehensive Document Analysis for insights and summarization
Contextual Legal Research across US federal and state law (50 states)
Medical Chronologies generation for personal injury cases
Medical Billing Summaries generation
Thought Partnership (AI as team member providing insights)
Secure closed model for data confidentiality
SOC 2 compliance certification
Enterprise admin controls and user management
Collaboration features for shared document sets
Priority support with account manager (Enterprise)
Multi-practice area support (PI, family, employment, criminal, corporate)
