Legal AI technology uses artificial intelligence to automate and enhance contract review, analysis, and management workflows. Robin AI's legal-specific algorithms understand complex agreements, identify risks, and provide actionable insights that traditional tools cannot deliver.
Unlike basic document automation, our Legal AI adapts to your team's preferences, learns from your contract standards, and delivers increasingly personalized results over time.
Legal teams don’t have time for inefficiencies. Robin AI specializes in contracts, handling everything from pre-execution review to obligation tracking and compliance management.
Robin's Legal AI has been trained on millions of legal documents to identify risks, inconsistencies, and non-standard language that human reviewers might miss. Our Legal AI software maintains concentration and applies consistent analysis across all documents, regardless of length or complexity.
Absolutely. Robin AI's Legal AI platform meets the highest security standards with SOC 2 Type II certification, bank-level encryption, and granular permission controls. Your legal documents never train our general models, ensuring complete confidentiality.
Most legal teams are up and running with Robin's Legal AI in just a few days. Our implementation specialists provide personalized onboarding and training, ensuring your team can immediately leverage the power of Legal AI for contract management.
Robin was built specifically for legal professionals by a team of lawyers and AI experts. Our Legal AI understands legal language and concepts at a deeper level, delivering more accurate results than general-purpose AI tools adapted for legal use.
Enterprise-Grade AI & Security: Robin AI is built on best-in-class AI models, thanks to:
Unlike Harvey AI, which relies on OpenAI’s models, Robin AI is fine-tuned for legal workflows using the most advanced models for legal applications from Anthropic, delivering AI optimized for contract management, negotiation, and compliance —not just broad applications.
At Robin AI, we believe AI should be easy to adopt and scale. That’s why we offer flexible pricing models that work for in-house legal teams, allowing businesses to start small and expand AI adoption as needed. We're also directly available on the AWS Marketplace, making procurement seamless for enterprises.
On the other hand, Harvey follows a rigid pricing model, requiring large upfront commitments — a structure better suited for law firms looking to resell AI-powered services rather than in-house legal teams seeking cost-efficient, scalable solutions.
Robin AI isn’t just another AI scale up — we’ve been refining our AI models longer than Harvey AI has existed, defining the AI landscape before the big boom in 2023.
Choosing an AI partner isn’t just about technology—it’s about who actually understands your business needs.
For legal teams that need world-class AI, expert-backed support, and enterprise-ready security, Robin AI is the smarter investment.
Luminance have developed a proprietary Large Language Model (LLM) as described on their website to power their Legal AI tools. However, rapid developments in the capabilities of model performance of generative AI leaders like Anthropic mean that enterprises will seek solutions like Robin AI that will provide them access to the latest, most advanced models.
As example, Robin AI was involved in the testing of Anthropic’s Sonnet 3.5, one of the most powerful Large Language Models in the world. This LLM is now leveraged in Robin AI Reports, a comprehensive tool for enterprises that enables you to extract and synthesise thousands of legal documents simultaneously.
At Robin, we partnered with Anthropic back in 2022 as the launch partner in the legal vertical - a decision that was easy to make given the world-class expertise of the Anthropic team, and the focus of their business on security, trust and reliability - all critical components to building Legal AI tools suited to major global enterprises.
Robin AI’s team have access to the latest models, and are actively involved in testing new models with the Anthropic team and collaborating with them closely to fine-tune models for the requirements of legal professionals. Robin AI’s team do this work by leveraging an expansive legal document and contracts data set, and deep legal and AI research & development expertise, headed up by Dr Carina Negreanu, former research scientist at Microsoft, and our CTO and Founder, Dr James Clough, a former machine learning research scientist at Imperial College London.
Robin AI’s journey began in 2019 and the focus was on developing proprietary machine learning models that would enable lawyers to achieve greater efficiencies in contract review and contract search tasks. In 2022, we were able to develop our first Legal AI Assistant, by combining the power of Anthropic’s large language models, fine-tuned for legal specific tasks, and the proprietary machine learning models that Robin AI had been developing since 2019.
The result? More robust, powerful solutions for our global clients that optimize legal workflows, providing high levels of accuracy across a range of contract-related tasks and a user-friendly experience that created immediate value for enterprise teams.
We understand the rapid evolution of the generative AI landscape - although we are two years into the public accessibility of generative AI tools, there is a wealth of development that is yet to come, and we will always enable our customers to have immediate access to the best and most powerful models that are available, delivering higher accuracy, faster speed and more relevant support for legal-specific tasks.
Robin AI has always adopted a “human-in-the-loop” model that centres on the putting the power of Legal AI into the hands of legal professionals, providing a combined approach that yields the most accurate and robust results. Unlike Luminance who announced plans in November 2023 to launch a fully “autopilot” version of contract review, the Robin AI team instead strongly believes in partnering legal professionals with best-in-class technology, enabling the legal professionals to keep control over the outputs from Legal AI.
In fact, Robin AI is a pioneer of AI-powered managed services. We have a team of over 100 legal professionals who leverage our own Legal AI technology to deliver a contract review service that sees routine contracts like NDAs and Supplier Agreements marked up in record speeds - with clients often seeing turnaround times for fast stream services in as little as 2 hours. This both gives us an opportunity to provide more flexible offerings to clients, whilst also being at the coal-face of learning about how to further develop our applications to better suit the needs of legal professionals.
The deep expertise of our legal team is one of Robin AI’s many superpowers - we have legal professionals who are leveraging our Legal AI Assistant every single day - and they are actively involved in the development and testing of all elements of Robin AI’s platform.
Our comprehensive suite covers everything from pre-execution analysis to post-execution management, report generation and more, offering a versatile, flexible and scalable approach for businesses.
A common challenge when buying legal technology projects is a slow implementation process that is misaligned with the requirements of busy legal departments. To effect change in your enterprise, you need to partner with businesses that can offer fast time to value, and intuitive tools that are user-friendly and simple to adopt.
It’s why at Robin AI we are laser focused on how we can get value to our customers on day 1.
Robin AI’s teams are well-versed in the challenges of change management across global enterprises and have a dedicated team that will support these hurdles - from helping to educate your teams about the applications of Legal AI, to helping with evaluations of Legal AI tools enabling you to create a robust read-out for your leadership teams about the return on investment.
Whilst it’s important for enterprises to achieve fast results from Legal AI tools, considerations around data security and architecture are also critical. Luminance and Robin AI both have the same SOC2 and ISO20071 certifications - table stakes requirements for working with the world’s largest enterprises.
However, Robin AI’s deep partnership with AWS has enabled our team to develop a private ecosystem for our customers. We deploy our own private instance of Anthropic’s Large Language Models within an AWS product called Bedrock. This enables us to provide the guarantee that our customer’s data will never be used to train Anthropic’s large language model, and it also affords customers with additional security and reliability guarantees.
The deep partnership with AWS also provides a route for customers to partner with Robin AI via the AWS marketplace. For customers leveraging AWS products, this can be an attractive proposition as it provides a seamless experience to start your partnership with Robin AI.