eDiscovery itself is a big data challenge, but recent advances in AI and machine learning can help mitigate risks by breaking down the silos of individual cases and leveraging prior case data. Lighthouse’s Karl Sobylak discusses the benefits of bringing technology to bear to understand large data sets at scale in a recent blog: http://ow.ly/QbzZ50COKK8


eDiscovery itself is a big data challenge, but recent advances in AI and machine learning can help mitigate risks by breaking down the silos of individual cases and leveraging prior case data. Lighthouse’s Karl Sobylak discusses the benefits of bringing technology to bear to understand large data sets at scale in a recent blog: http://ow.ly/QbzZ50COKK8


As data volumes continue to grow so does the need for AI and machine learning. In fact, adopting AI can be a catalyst for revitalizing your organization’s ediscovery model. Lighthouse’s Rob Hellewell makes the case for AI including cost reduction, lower risk, and improved win rates in a recent blog: http://ow.ly/MoNs50CMwws


Artificial intelligence, advanced analytics, and machine learning are no longer new to the ediscovery field. While the legal industry admittedly trends towards caution in its embrace of new technology, the ever-growing surge of data is forcing most legal professionals to accept that basic machine learning and AI are becoming necessary ediscovery tools.

However, the constant evolution and improvement of legal tech bestow an excellent opportunity to the forward-thinking ediscovery legal professional who seeks to triumph over the growing inefficiencies and ballooning costs of older technology and workflow models. In this article, we provide you with arguments on how leveraging the most advanced AI and analytics solutions can give your organization or law firm a competitive and financial advantage, while also reducing risk.