AI Native Case Study #10: Harvey

👏 Harvey revolutionizes legal workflows by partnering with OpenAI to develop a custom-trained case law model.

🌟 Background
Founded by an attorney and an AI researcher, Harvey operates in the legal tech industry, boasting over 100 employees and achieving 10x revenue growth in 2023, along with $80M in Series B funding at a $715M valuation.

🏔️ Challenge
The legal field faces increasing complexity, with hundreds of thousands of documents needing review for transactions and litigation. Attorneys require AI capable of sophisticated reasoning and domain-specific knowledge.

💡 Solution
Harvey partnered with OpenAI to develop a custom case law model that integrates extensive legal knowledge into existing frameworks, enhancing the efficiency of case law research.

🚀 Benefit
📈 97% of lawyers preferred the custom model’s output over GPT-4, citing its comprehensive answers.
🔍 Every response from the case law model includes specific case citations, ensuring reliability.
🔒 Hallucination rates significantly reduced, enhancing trust in AI-generated legal responses.

📊 Evaluation
Ethical AI: (9/10) The focus on reducing hallucinations and providing accurate sources ensures ethical standards.
AI Native: (10/10) Harvey leverages LLMs to innovate and enhance legal workflows effectively.
Application Modernization: (8/10) Custom model development modernizes legal processes, improving efficiency and accuracy.

Statement:
1) This case is sourced from OpenAI’s official website, linked to https://openai.com/index/harvey/.
2) Evaluation results are generated by AI, lack of data support, reference learning only.

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