Evolving a Legal AI Platform through optimization and intelligent architecture

We partnered with ipsaIQ — in collaboration with The Creative Bomb — to evolve and optimize an existing AI-powered legal platform designed to process, analyze, and search legal case information using semantic technologies.

Rather than building from scratch, our focus was on improving performance, accuracy, and scalability across the entire system — including the AI pipeline, landing experience, and CMS.

Result

• Improved semantic search accuracy and retrieval quality
• Reduced token usage and operational costs
• Enhanced data processing and system efficiency
• Improved landing experience for users and conversion
• Optimized CMS for better content management and scalability

Industry

LegalTech / AI

Technologies Used

Python, AI Pipelines, Semantic Search, Vector Databases (Weaviate), LLMs, Data Processing, Web Scraping, Web Platforms, CMS

Our Solution

We analyzed and optimized the platform end-to-end — focusing on strengthening existing components without disrupting the product.

• Improved scraping pipelines to enhance data quality and structure
• Standardized legal metadata (jurisdiction, dates, parties, case types)
• Reduced duplication and improved preprocessing before embeddings
• Redesigned chunking strategies for better semantic coherence
• Optimized vector database usage with improved indexing strategies
• Enhanced semantic search capabilities for more accurate retrieval
• Reduced token consumption through smarter context selection and prompt optimization
• Expanded AI functionalities to improve overall system capabilities

In addition to the AI layer, we improved the product experience:

• Enhanced the landing page to improve clarity, performance, and user engagement
• Optimized the CMS to support better content management and scalability

The result is a more efficient, scalable, and user-friendly platform built on top of a solid AI foundation.

What this system enables

• Faster and more accurate legal information retrieval
• Intelligent semantic search across large datasets
• Efficient use of AI resources and reduced operational costs
• Scalable content and data management through an improved CMS
• Better user experience through a refined landing and product interface

Key Improvements

• Enhanced scraping and data normalization processes
• Improved embedding strategy and vector search performance
• Reduced unnecessary data processing and token usage
• Improved landing experience and product usability
• Optimized CMS for better content workflows

Client Info

ipsaIQ is a legal AI platform focused on processing and analyzing legal case information using semantic technologies to improve access to legal knowledge.

Curious how improve your AI pipeline?

We optimize systems across all layers — from AI pipelines to product experience — improving performance, scalability, and real-world impact.