AI-driven automation of legal workflows

Client context

A large retail company with an in-house legal department that handles hundreds of contracts and compliance documents every month.
The team faced growing workloads and needed a scalable way to automate repetitive legal operations without compromising accuracy or control.

Challenge

The company’s legal team was spending too much time on manual and repetitive work — reviewing contracts, comparing versions, and maintaining a document archive.
 

They needed to:

• Speed up contract drafting and review.

• Detect inconsistencies and risks in legal texts automatically.

• Structure and digitize their document storage.

• Explore how AI could support legal experts rather than replace them.

Solution

Hidden Core designed a custom AI ecosystem for document processing and analysis, integrating natural language models, data extraction pipelines, and a scalable architecture for enterprise use.

Key components:

• AI-assisted contract generation
  Language models trained on internal templates produce draft agreements and clauses, reducing preparation time by up to 50%.

• Comparative document analysis
  LLM models highlight textual differences, flag unusual clauses, and suggest standard alternatives.

• Smart document archive
  Automated extraction of key metadata — contract number, date, counterparty, and subject — enabling fast search and retrieval.

• Prototype of a legal AI agent
  A conversational assistant capable of summarizing documents, answering legal queries, and supporting compliance checks.

Results

• 40% reduction in processing time for standard legal workflows.

• Improved accuracy through automated text comparison and structured metadata.

• Centralized, searchable legal archive built automatically from document streams.

• Higher team efficiency — lawyers focus on strategic and analytical work instead of routine editing.

Technologies & Approach

• Custom LLM models fine-tuned on internal document sets

• Scalable data pipelines for continuous document ingestion and tagging

• Integration with the company’s document management system

• Iterative PoC → pilot → deployment workflow

• Human-in-the-loop validation for legal-grade accuracy

Impact

The AI system became a reliable assistant for legal teams — reducing repetitive manual work, improving compliance, and creating a foundation for further automation.
It transformed the department from reactive document processing to proactive, data-driven legal operations.

Hidden Core contribution

We built the technological core of the solution — from model design to production-ready pipelines.
Our focus: creating AI systems that deliver measurable business value, remain interpretable, and adapt to complex enterprise environments.