Robin AI Secures $26M for Legal Contracts Copilot

The ethical dilemma and data risks that come with generative artificial intelligence have made its use scarce in the legal sector. However, with AI tech adoption already bringing a great deal of advantages in multiple industries, the legal sector started its embrace of AI.

The global market of generative AI in the legal sector is expanding, predicted to reach around $781M by 2032. According to Thomson Reuters, many legal professionals find AI as a catalyst of growth, presenting opportunities to achieve milestones that would usually face friction, such as launching new services or expanding to new markets.

In order to mitigate the challenges that come with AI, a balanced mix of technology and the human touch is needed. This is what Robin AI, founded in 2019 by lawyer Richard Robinson and machine learning research scientist James Clough, aims to achieve with its legal AI copilot.

The Best of Both Worlds

Designed for the betterment of legal performance in terms of quality and efficiency, Robin AI’s legal copilot is trained with over 2 million of the company’s proprietary contracts, along with machine learning techniques for the copilot to read and understand contracts, utilizing their data to the maximum. The copilot can also be trained on a customer’s negotiating playbook.

After becoming one of Antrophic’s launch partners during the release of the company’s large language model, Claude, Robin AI was able to create a hybrid model for its copilot, combining legal capabilities with tech expertise.

While plenty of LLM options very much exist, especially now following advancements in AI tech, Robin deems Claude 2.1 the most ideal for legal work, a key benefit being longer prompts of about 150K words. With these capabilities combined, analyzing complex and lengthy legal documents would not be an issue the copilot could face.

Available as an add-in on Microsoft Word, the copilot automates contract drafting and negotiations, which are often considered some of the most time-consuming processes legal professionals can face. Reviewing and extracting information from contracts, which also takes an equally prolonged time, can be done using a simple, AI-assisted search thanks to Robin’s copilot.

According to Robin, to ensure high quality and accuracy as well as minimal data risk, its copilot is continuously monitored by the company’s in-house team of lawyers for further improvements. Legal professionals will stay in the loop to accept or reject work done by the copilot, acting as a performance appraisal of sorts, with full control.

Funding for the Better

Robin AI recently secured $26M during its Series B funding round, bringing the company a total of $43.6M in funds so far with plans to further improve its copilot’s legal capabilities and expand its machine learning team. The round was led by Temasek, a global investment company from Singapore, with participation from QuantumLight, Plural, and AFG Partners.

By using its AI copilot for contracts, Robin believes that legal work can be with an 85% increase in speed without losing quality or accuracy, perfect for firms looking to move faster in projects, save money, and invest their time strategically with more confidence.

So far, Robin AI has seen plenty of demand for its copilot from private equity firms that deal with closures and complex obligations, some of its customers being AlbaCore Capital Group, BlueEarth Capital, and Pepsico.

Meme & AI-Generated Picture

Job Posting

• Robin AI - Applied LLM Engineer - New York City, NY (In-Office/Hybrid)

• Robin AI - Lead Analytics Engineer - New York City, NY (In-Office/Hybrid)

• Robin AI - LLM Research Engineer - New York City, NY (In-Office/Hybrid)

• Robin AI - Senior Growth Marketing Lead - New York City, NY (In-Office/Hybrid)

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