When Legal Knowledge Grows Faster Than Lawyers Can Search 

A leading law firm in Singapore manages hundreds of thousands of historical legal cases across multiple jurisdictions. Lawyers regularly need to search for relevant precedents, but legacy search systems struggle to deliver accurate results. 

The firm partnered with DEHA GLOBAL to transform its legal knowledge base using Legal AI Fine-tuning

Traditional Legal Search Cannot Handle Legal Complexity 

The firm relied on a legacy case management system with basic keyword search capabilities. As the database grew, the system showed clear limitations: 

  • Search results returned too many irrelevant cases 
  • Lawyers had to manually read through dozens of documents 
  • Search performance slowed significantly as data volume increased 
  • Similar cases were often missed due to differences in wording or jurisdiction 
  • Valuable institutional knowledge remained underutilized 

As a result, lawyers spent significant billable time searching instead of analyzing, directly impacting productivity and service quality. 

The firm needed an AI solution that could understand legal language, legal context, and legal reasoning — not just keywords. 

Fine-tuned Legal AI Built on the Firm’s Own Case Data 

DEHA GLOBAL designed and delivered a Legal AI Fine-tuning solution, transforming a generic Large Language Model (LLM) into a domain-specific legal intelligence assistant

Instead of training a model from scratch, DEHA GLOBAL applied fine-tuning techniques using the firm’s historical legal cases and internal documents. 

  1. Data Preparation & Structuring 
    Hundreds of thousands of legal documents were cleaned, structured, and categorized by: 
    + Case type 
    + Jurisdiction
    + Legal domain
    + Outcome and reasoning
  1. Model Selection & Fine-tuning 
    An open-source LLM was selected and fine-tuned using the firm’s proprietary data, enabling the model to: 
    + Understand legal terminology 
    + Capture legal logic and context
    + Recognize similarities beyond keyword matching
  1. Legal AI Chat Interface 
    Lawyers can now chat with the AI
    + Describe a case in natural language 
    + Ask for similar precedents 
    + Request summaries of relevant past cases 
  1. Enterprise Deployment 
    The system was deployed on secure infrastructure, ensuring compliance with strict legal and data protection requirements. 

From Manual Search to Instant Legal Intelligence 

After deployment, the firm experienced a fundamental shift in how legal knowledge was accessed. 

For Lawyers 

  • Relevant case references returned within seconds 
  • Drastically reduced time spent searching archives 
  • Ability to focus on legal analysis and strategy 

“The AI doesn’t just search — it understands what my case is really about.” 
A senior associate commented

For the Law Firm 

  • Thousands of lawyers are supported daily by a single AI platform 
  • Consistent access to institutional knowledge across offices 
  • Improved quality and speed of legal advice 
  • Better utilization of historical case assets 

The firm effectively converted decades of legal experience into a scalable digital legal assistant

Technology Stack 

The Legal AI Fine-tuning solution is built with enterprise-grade technologies: 

  • Large Language Model (LLM): Open-source foundation model 
  • Fine-tuning Pipeline: Domain-specific training with legal data 
  • Vector Search & Retrieval: High-precision semantic matching 
  • AI Chat Interface: Natural language interaction for lawyers 
  • Security & Compliance: Private deployment, encrypted data processing 
  • Multi-language Support: Legal queries and answers across jurisdictions 

Implementation Timeline 

Typical enterprise implementation timeline: 

  • Legal Requirement Analysis & Data Assessment: 3–4 weeks 
  • Data Preparation & Annotation: 6–8 weeks 
  • Model Fine-tuning & Evaluation: 6–8 weeks 
  • System Integration & Deployment: 4–6 weeks 

Total Implementation Time: ~5–6 months 

Cost Consideration (Indicative) 

Project cost depends on: 

  • Volume and complexity of legal documents 
  • Number of supported users (lawyers, offices) 
  • Deployment model (private cloud / on-premise) 
  • Compliance and security requirements 

Typical Legal AI Fine-tuning projects start from a high five-figure to low six-figure USD range, delivering ROI through: 

  • Reduced research time 
  • Increased lawyer productivity 
  • Faster case preparation and response 

Why Legal AI Fine-tuning Matters for Law Firms 

This use case demonstrates how fine-tuned AI can outperform generic AI tools in highly specialized, high-stakes domains. 

For law firms, Legal AI Fine-tuning enables: 

  • Precision over generality 
  • Knowledge scalability without hiring more staff 
  • Competitive differentiation through proprietary data 

AI becomes not just a tool, but a strategic knowledge asset

If your law firm or legal department is exploring Legal AI, LLM fine-tuning, or AI-powered case intelligence, DEHA GLOBAL can help you build a secure, domain-specific solution. 

Let DEHA Global be a part of your success.