McCarthyFinch AI services platform automates tedious legal tasks

McCarthyFinch sounds a bit like a law firm — and with good reason. The startup has developed an AI as a Service platform aimed at the legal profession. This week, it’s competing in the 2018 TechCrunch Disrupt Battlefield in San Francisco. The company began life as a project at a leading New Zealand law firm, […]

McCarthyFinch sounds a bit like a law firm — and with good reason. The startup has developed an AI as a Service platform aimed at the legal profession. This week, it’s competing in the 2018 TechCrunch Disrupt Battlefield in San Francisco.

The company began life as a project at a leading New Zealand law firm, MinterEllisonRuddWatts. They wanted to look at how they could take advantage of AI to automate legal processes to make them more efficient, cost-effective and faster, according to company president Richard DeFrancisco.

“They were working on leveraging technology to become the law firm of the future, and they realized there were some pretty tremendous gaps,” he explained. They found a bunch of Ph.Ds working on artificial intelligence who worked with more than 30 lawyers over time to address those gaps by leveraging AI technology.

 

That internal project was spun out as a startup last year, emerging as an AI platform with 18 services. MinterEllison, along with New Zealand VC Goat Ventures, gave the fledgling company US$2.5 million in pre-seed money to get started.

The company looked at automating a lot of labor-intensive tasks related to legal document review and discovery such as document tagging. “Lawyers spend a lot of time tagging things with regards to what’s relevant and not relevant, and it’s not a good use of their time. We can go through millions of documents very quickly,” DeFrancisco said. He claims they can lower the time it takes to tag a set of documents in a lawsuit from weeks to minutes.

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He says that one of their key differentiators is their use of natural language processing (NLP), which he says allows the company to understand language and nuance to interpret documents with a high level of accuracy, even when there are small data sets. Instead of requiring thousands of documents to train their models, which he says law firms don’t have time to do, they can begin to understand the gist of a case in as little as two or three documents with 90 percent accuracy, based on their tests.

They don’t actually want to sell their platform directly to law firms. Instead, they hope to market their artificial intelligence skills as a service to other software vendors with a legal bent who are looking to get smarter without building their own AI from scratch.

“What we are doing is going to technology service providers and talking to them about using our solution. We have restful APIs to integrate into their technology and do a Powered By-model,” DeFrancisco explained.

The startup currently has 10 trials going on. While he couldn’t name them, he did say that they include the largest law firm in Europe, largest global provider of legal information and the fastest growing SaaS company in history. They are also working on agreements with large systems integrators including Deloitte and Accenture to act as resellers of their solution.

While they are based in New Zealand, they plan to open a U.S. office in the Los Angeles area shortly after Disrupt. The engineering team will remain in New Zealand, and DeFrancisco will build the rest of the company in the U.S as it seeks to expand its reach. They also plan to start raising their next round of funding.

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