With the #acquisition of @H5technologies & addition of the leading review efficiency tech, Lighthouse will be able to address #docreview w/ a “highly differentiated offering that will dramatically reduce the need for manual review.” http://ow.ly/uIeb50Fsb2I #legaltech #ediscovery
Lighthouse, a leader in technology-enabled legal services, today announced the launch of Prism, a new in-house technology that uses AI and machine learning to radically improve document review legal processes. Prism deploys big data analytics along with expert insights and unified workflow consulting to deliver scalable, lightning-speed ediscovery and document review, with the proven ability […]
Expanding data volumes are having a significant impact on ediscovery, but what are the specific challenges being faced? Lighthouse’s Nick Schreiner outlines six challenges when working with large data sets and offers up insights into how to address these challenges with data re-use, AI, and big data analytics in a recent blog: https://lnkd.in/dYjcY6W
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 […]
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 […]
Expanding data volumes are having a significant impact on ediscovery, but what are the specific challenges being faced? Lighthouse’s Nick Schreiner outlines six challenges when working with large data sets and offers up insights into how to address these challenges with data re-use, AI, and big data analytics in a recent blog: https://lnkd.in/dYjcY6W