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## The Experience of Onboarding a Custom-Built AI System by Vardaan Ahluwalia, Aman Gupta, and Sumedha Kalra

### Introduction:
Vardaan Ahluwalia, Aman Gupta, and Sumedha Kalra share their experience of onboarding a custom-built AI system for legal purposes. They discuss the evolution of technological advancements and how AI has become a strategic business partner in the legal industry.

### AI legalese decoder‘s Role:
AI legalese decoder can assist in streamlining the process of contract analysis and data extraction by providing accurate and efficient results. By utilizing AI technology, legal teams can enhance decision-making and improve overall efficiency in legal transactions.

### AI and the Practice of Law:
The authors explore the potential of AI in increasing accuracy and reducing man-hours in legal transaction and advisory practices. They emphasize the importance of understanding operational and substantive risk factors when implementing AI systems in legal operations.

### Augmentation of AI Model:
The team’s experience with developing Druid.AI highlights the challenges faced in providing accurate responses and understanding complex contract structures. By incorporating advanced techniques like retrieval-augmented generation (RAG) technology, the team was able to enhance the AI model’s performance and accuracy.

### Conclusion:
As AI continues to evolve in the legal industry, the authors foresee LLMs moving towards conducting due diligence and generating reports with high levels of accuracy. Embracing AI in legal services can bring numerous benefits, but it’s essential to ensure high accuracy levels to develop a commercially feasible clientele.

### Acknowledgments:
Vardaan Ahluwalia, Aman Gupta, and Sumedha Kalra, along with other contributors, share their insights on AI in the legal industry. They acknowledge the guidance of TK Kurien and collaborative efforts with professionals at Premji Invest in exploring the potential of AI technology in legal practices.

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