An intelligent revolution of the legal industry has begun.
This March The New York Times reported on Luis Salazar, a partner of a small Miami law firm, who discovered bankruptcy cases similar to his client’s by using an online AI legal database. The system also provided a summary and two-page explanatory memo, which to Salazar’s surprise were not that different from memos normally written by human lawyers.
The online database Salazar used was developed by Silicon Valley-based startup Ross Intelligence, and it is changing the way law firms operate. Ross Intelligence has already secured big clients such as Latham & Watkins, Dentons, BakerHostetler, and von Briesen & Roper.
In the past, a large patent case could typically require involvement from three partners, five associates, and four paralegals. With the help of today’s AI systems, the same case can be handled with less than half the labour power, producing a strong reduction in costs.
Synced has compiled a list of six AI platforms poised to disrupt the legal industry:
Luminance’s system processes legal documents using natural language processing capabilities. Users can upload texts into the cloud, the machine then uses algorithms to cluster and filter materials, locating relevancy between texts. The model also learns based on supervised and unsupervised machine learning, it can identify terms, parties, time, location, and language, even conducting risk assessments on contracts.
This AI chatbot can help a user assess their immigrant application success rates for US citizenship. The system calls itself “the first immigrant robot powered by artificial intelligence.” The user uploads supporting documentations and the system helps to put together templates and forms. Currently it can do B-2 visa extensions and O-1 visa petitions, with other features coming soon.
Based on IBM Watson’s natural language processing and machine learning technology, the platform reduces legal research time by 30%. The user can enter texts to search in an unstructured database, replacing keyword searchers. The platform is constantly updated with the newest legal cases to train the intelligent search engine.
Based on user location and context provided through chatting, entrepreneur Joshua Browder’s chatbots provide consulting services to users based on regional laws in the United States and the United Kingdom. The bot can provide insights on parking tickets, insurance complaints, flight and train delay policies, maternity leave policies, land contracts, and much more.
The system classifies litigation documentation using AI, extracting key information including attorneys, law firms, parties, and judges. It is able to identify asserted properties, findings, outcomes, etc, at the same time forming a timeline linking all relevant documentations for each case.
With the intensive focus on contract analysis, due diligence, and lease abstraction, eBrevia’s system uses machine learning and natural language processing capabilities to provide insights on legal documentations. The system claims to be 30-90% faster than manual reviews, capable of analyzing 50+ documents every minute.
Journalist: Meghan Han | Editor: Michael Sarazen