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5OpenAI Blog·1mo ago

Harvey Partners with OpenAI to Build Custom-Trained Legal AI Model

Harvey has partnered with OpenAI to develop a custom-trained model specifically tailored for legal professionals. The collaboration involves fine-tuning or otherwise customizing an OpenAI model to address the specialized needs of legal work. This represents an enterprise deployment pattern where domain-specific customization is applied to a frontier model for a professional vertical.

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Related events (8)

5Openai Blog·1mo ago·source ↗

OpenAI partners with Scale AI to support enterprise fine-tuning

OpenAI has announced a partnership with Scale AI to provide enterprise customers with expert support for fine-tuning OpenAI's advanced models. The collaboration allows businesses to leverage Scale's data and AI expertise alongside OpenAI's model customization capabilities. This positions both companies to capture enterprise demand for tailored foundation models.

5Openai Blog·1mo ago·source ↗

Hebbia Automates 90% of Finance and Legal Work Using OpenAI Agents

Hebbia, an AI platform targeting finance and legal workflows, claims to automate 90% of work in those domains using OpenAI-powered deep research agents. The announcement is published on OpenAI's blog, indicating a formal partnership or featured deployment. This represents a concrete enterprise deployment case for OpenAI's agent capabilities in high-stakes professional verticals.

4Openai Blog·1mo ago·source ↗

Salesforce Integrates OpenAI Enterprise LLMs for Customer Applications

Salesforce is integrating OpenAI's enterprise-grade large language models into its customer applications. The partnership focuses on trust and safety features suited for enterprise deployment. No specific model names or technical capabilities are detailed in the announcement.

5Openai Blog·1mo ago·source ↗

OpenAI Improves Fine-Tuning API and Expands Custom Models Program

OpenAI announced enhancements to its fine-tuning API giving developers greater control over the training process, alongside an expansion of its custom models program. The updates aim to provide more flexibility for enterprise and developer use cases requiring tailored model behavior. Specific new features include additional hyperparameter controls and tooling improvements, while the custom models program expansion opens new pathways for organizations to build bespoke models with OpenAI's assistance.

5Hugging Face Blog·1mo ago·source ↗

Constitutional AI with Open LLMs

This Hugging Face blog post explores implementing Constitutional AI (CAI) techniques using open-weight language models. The post likely covers how to replicate Anthropic's CAI alignment methodology—using a set of principles to guide model self-critique and revision—without relying on proprietary systems. It represents a practical contribution to democratizing alignment research tooling.

6Openai Blog·1mo ago·source ↗

OpenAI for Healthcare

OpenAI has launched a dedicated healthcare vertical offering called OpenAI for Healthcare, targeting enterprise customers with HIPAA-compliant AI capabilities. The initiative aims to reduce administrative burden and support clinical workflows. This represents OpenAI's formal entry into the regulated healthcare enterprise market.

6Openai Blog·1mo ago·source ↗

OpenAI Expands UK Sovereign AI Partnership with Ministry of Justice and Data Residency

OpenAI has announced an expanded UK partnership including a new agreement with the Ministry of Justice to deploy ChatGPT for civil servants. The company is also introducing UK data residency options for ChatGPT Enterprise, ChatGPT Edu, and the API Platform. These moves are framed as supporting trusted and secure AI adoption within UK government and enterprise contexts.

5Anthropic News·16d ago·source ↗

Anthropic, AWS, and Accenture form enterprise AI collaboration targeting regulated sectors

Anthropic, Amazon Web Services, and Accenture announced a three-way collaboration to accelerate enterprise generative AI adoption, with particular focus on regulated industries requiring accuracy, reliability, and data security. Over 1,400 Accenture engineers will be trained as specialists in Anthropic's models on AWS, supporting customers through fine-tuning, prompt engineering, and deployment via Amazon Bedrock and SageMaker. An early production deployment is already live: a Claude-powered bilingual chatbot called Knowledge Assist, built with the DC Department of Health. The partnership combines Anthropic's model expertise, AWS infrastructure, and Accenture's industry consulting reach.