Harvey is creating the playbook for building an AI-native application business Better lawyers today. Better access to justice tomorrow. Delighted to deepen our partnership with Winston Weinberg Gabe Pereyra and everyone at Harvey

Our CEO Winston Weinberg joined sarah guo // conviction on No Priors to discuss the AI landscape, Harvey’s founding story, the future of the legal industry, and lessons learned as we’ve built Harvey.

Retrieval for the enterprise. Great article by Calvin Qi Aman and team.

Stay focused on high-impact work with Harvey

Our CEO Winston Weinberg joined Kleiner Perkins partners Joubin Mirzadegan and Ilya Fushman on KP's Grit podcast to discuss: - Harvey's growth - Agentic AI coworkers for lawyers - Partnering with the world's leading law firms - Expanding to professional services ... and more!

Partnering with the Swiss Supreme Court to define legal translation benchmarks -- nice work by Joël Niklaus and the team.

The value is in the application layer. Success requires a people-first approach. Winston Weinberg reveals how Harvey built trust through deep industry knowledge and personalized solutions to become the first breakout application layer company in AI.

Legal agency

huge congrats to Harvey Hugging Face Notion OpenEvidence OpenAI and the 14 Sequoia Capital companies on this year's AI 50!

On my 2 year anniversary no less — thanks Forbes

Come hang with Harvey

LLMs are the star of the show right now but solid AI infra is key to building robust AI-native products

We're excited to announce initial results from OpenAI’s reinforcement fine-tuning program, training models to produce more accurate citations in legal tasks. We look forward to continuing our work with OpenAI to specialize models for legal and professional services.

Harvey is now multi-model. We’ve integrated top models from Anthropic and Google - alongside OpenAI - to optimize for the full range of legal work. Users get better results by default, plus the ability to choose the model best suited to their task.

How efficiently can you collect human preference judgments from domain experts? Can model-based evals approximate human quality review? An inside look into evaluation at Harvey

Harvey is applying AI to one of the most complex and high-impact domains: the legal profession. We spent time with Harvey employees in both SF and New York, and came away energized by their technical depth, product focus, and disciplined approach to building. Katie Burke,

Domain-specialized AI means optimizing for use cases that general AI systems can't handle well. S/o Varun Nair and team for this post on how we've approached redlines detection with custom vision models

Harvey partnership with LexisNexis 🦾 businessinsider.com/lexisnexis-har…

We are excited to announce a strategic alliance with LexisNexis. Harvey and LexisNexis will work together to bring their trusted data and case law to Harvey customers, and to co-develop workflows that make it easier for lawyers to do their daily work.