Reliable, efficient GenAI for lawyers and legal departments
Condense has worked with Lidia since the start, from UX and UI design to AWS, DevOps and GenAI. Today, as an Anthropic partner, Condense makes the platform's conversational AI, legal research and document analysis more reliable and more efficient.
LidiaAI platform for lawyers and legal departments
ScopeUX/UI, AWS, DevOps and GenAI
Anthropic modelsOn AWS Bedrock, EU data residency
Engagement2025 – ongoing
3.2×
monthly AI answers in 6 months
2k+
questions on peak working days
−51%
response time on the slowest 1 in 10 answers
−69%
conversion time per document
Lidia production data, January–September 2026; document conversion from July 2026.
The challenge
Many models, one platform, already in production
Lidia brings conversational AI, legal research, web research and document analysis into a single platform for lawyers and legal departments, powered by several models, each dedicated to a specific area. Anthropic models power chat, legal research, web research and document-based answers.
Every language model is accessed through AWS Bedrock, keeping data resident in the EU.
Condense has been part of the project since the start, beginning with UX and UI design. With the platform in production, the work now is to make it more reliable and more efficient, while keeping AI consumption measurable and under control.
The solution
Reliability and efficiency across the whole GenAI chain
Condense's work spans agent execution, user experience, context, documents and usage accounting, all towards the same goal: a GenAI platform with greater continuity of use and more controllable consumption.
1
Agent runtime
Conversational execution is consolidated on Bedrock AgentCore, a managed runtime for AI agents.
2
Recoverable answers
Long answers show their progress as they are built, and users can reconnect without losing the response.
3
Context reuse
Prompt caching reuses conversation and document context instead of processing the same material again.
4
Document ingestion
Retries, fallbacks and better table handling make the documents behind every answer more reliable to extract.
More accurate usage accounting and organization-level budgets keep AI consumption measurable and under control.
The roadmap
What's next
Condense and Lidia keep working together, building new features and optimizing the platform.
Building something similar?
Condense designs and ships production AI agents wired to real business systems, not demos.
