Building a Secure, Multi-Model LLM Platform for Legal Research
Maruti Techlabs developed a secure, multi-model AI platform that brings AI-powered legal research to a controlled environment, combining multiple AI models, configurable AI behavior, and real-time information retrieval.
At a Glance
Maruti Techlabs built a secure multi-model LLM platform for 500+ legal and government relations professionals to conduct AI-assisted research, analyze documents, and access current information within a controlled environment.
Industry
LegalTech
Function
Legal Research & Information Retrieval
Solution
Multi-Model LLM Platform
Engagement
End-to-end AI Development
The Client
The client is a trusted national law firm providing progressive, industry-leading legal, business, regulatory, and government relations counsel to regional, national, and international organizations. With 475+ attorneys and government relations professionals, the firm represents some of the nation’s most prominent and innovative companies, including more than 40% of Fortune 500 companies.
The Challenges
When Data Sensitivity Limits AI Adoption
The firm needed the benefits of generative AI for legal research without exposing sensitive legal and government relations information to public AI platforms. At the same time, the platform needed to evolve beyond a single AI provider.
Protecting Highly Sensitive Information
The client handles confidential legal and government-related information that could not be shared with public LLM platforms or exposed to third-party services.
Limited Access to Public AI Tools
Public AI tools offered powerful capabilities, but data privacy requirements prevented their use for sensitive internal work.
Supporting Multiple AI Providers
The platform was initially designed around a single AI provider, making it difficult to add additional providers without changes across the application.
Avoiding Provider-Specific Dependencies
Request handling, response processing, and usage tracking were closely tied to one provider, limiting flexibility as the AI landscape evolved.
Balancing Privacy With Real-Time Research
The firm needed access to current information while keeping sensitive conversations and internal data within a controlled environment.
Improving Research and Knowledge Retrieval
Legal professionals needed faster research, easier access to previous conversations, and practical tools to refine and reuse AI interactions.
The right AI strategy starts with protecting what matters most.
Need a secure way to bring AI into your workflows?
The Solution
Building a Secure Multi-Model AI Environment
Maruti Techlabs transformed the platform into a secure, multi-model LLM environment that works with multiple AI providers through a common integration layer. The solution combines provider and model flexibility with controlled data handling, enterprise security, conversational AI, and real-time web search.
Maruti Techlabs redesigned the AI integration layer around a common provider interface. This allows different AI providers and models to work through the same application while keeping provider-specific implementation separate from the platform's core logic.
Maruti Techlabs redesigned the AI integration layer around a common provider interface. This allows different AI providers and models to work through the same application while keeping provider-specific implementation separate from the platform's core logic.
The Journey
From Public Tools to Private AI
Business Outcomes
Expanding AI Access Without Compromising Security
3 AI Providers
The platform supports AI models from OpenAI, Anthropic, and Google within a single controlled environment.
Multiple AI Models
Users can choose from multiple models based on their research requirements rather than being limited to one provider.
2× Faster Legal Research
AI-assisted research capabilities helped legal professionals retrieve and work with information more quickly.
40% Less Manual Research
AI-assisted workflows reduced the manual effort involved in research and information retrieval.
Faster Model Expansion:
Supported providers can introduce new models through centralized configuration instead of requiring changes across the application.
Zero Public LLM Dependency
Sensitive AI interactions can be conducted within the client's controlled environment rather than relying on public AI applications.
Conclusion
Maruti Techlabs transformed a single-provider AI application into a secure multi-model LLM platform built for sensitive legal research. By introducing a common integration layer for multiple AI providers, centralized model configuration, real-time search, and practical research capabilities, the platform gives legal professionals greater flexibility without compromising the controlled environment required for sensitive work.
Tech Stack
Bring Secure, Flexible AI Into Your Organization
Concerned about using public LLMs with sensitive data?
Download Your Free Case Study Today.
FAQs
Organizations handling sensitive information can deploy AI in a controlled environment instead of relying on public AI applications. A private, multi-model LLM platform can provide access to AI capabilities while keeping sensitive data and conversations within the organization’s controlled infrastructure.
The platform uses a common provider interface and centralized model configuration, so you can add a new model from an existing provider through configuration rather than application changes. Adding a new provider is also contained to its integration layer, while existing platform capabilities remain reusable.
The platform separates model-specific details from its core application logic. Model information such as capabilities, limits, and supported settings is centrally configured, while a common provider interface handles AI interactions. This lets you add new models from supported providers without modifying the core platform.
Yes. Users can select an AI provider and then choose from the models available through that provider. This gives them the flexibility to use different models based on their research needs, while keeping the same platform experience and capabilities across models.
The platform operates in a controlled internal environment, keeping sensitive research and conversations within the organization’s infrastructure. Combined with a zero data retention policy for AI interactions, this enables access to multiple AI models while maintaining the data-control requirements of sensitive legal workflows.