AI Legal Architect

Claude

AIConversational AIComing Soon

Anthropic's AI built for nuanced reasoning, safety, and long-context work. Excels at analysis, technical writing, and following complex multi-step instructions.

• Long-document analysis and summarisation
• Safety-critical AI system design
• Multi-step reasoning and planning

ChatGPT

AIConversational AIComing Soon

OpenAI's flagship conversational AI. Broad general knowledge, strong code generation, and long-form reasoning across virtually any domain.

• Draft, edit, and refine written content at scale
• Generate and debug code across languages
• Research and summarise complex topics

RAG is how you make an AI system that knows things a model was never trained on. You take your own documents, split them into chunks, convert those chunks into vector embeddings, store them in a vector database, and at query time retrieve the most relevant chunks and pass them to the model as context. This is the technique behind every serious AI application that needs to work with private or recent data.

• Vector embeddings and how semantic search works
• Choosing and configuring a vector database
• Chunking strategies and their effect on retrieval quality

The most advanced open-source relational database in the world. Handles complex SQL queries, stores rich data types, enforces data integrity, and scales to serious production workloads without a licensing fee.

• Storing relational data for web and mobile applications
• Complex queries with joins, aggregations, and window functions
• Storing JSON and running hybrid relational queries on it

GraphQL is an alternative to REST APIs. Instead of hitting multiple endpoints and getting back more data than you need, you send a single query describing exactly what you want and get back exactly that.

• APIs for mobile apps that need efficient data fetching
• Unified data layer across multiple backend services
• Rapid frontend development without waiting on backend changes