Using Legal Technology to Cut Costs and Save Time in a Highly Complex International Disclosure Exercise

Ediscovery
AI

Watson Farely & Williams used DISCO to assist with disclosure for a multi-billion pound value English High Court case. It was a complex and highly sensitive matter with documentation emanating from different parts of the world. With such a large-scale, sensitive, geographically dispersed, and short timeframe, WFW knew technology had to play a major role. Specifically, AI technology. WFW found DISCO to be the most cutting edge, flexible, transparent, and easy to use. DISCO's flat-rate pricing was also key so they could ensure cost clarity to their client. They were able to work with DISCO's project management team to train 18 WFW reviewers. The platform also allowed WFW team members to create a precise review workflow. They were able to carefully prepare a document tagging system, identify a pool of some 250,000 potentially relevant documents and split the review and AI training into five phases. Due to the nature of the case being sensitive information, DISCO's search functionality allowed WFW to identify potentially privileged documents and segregate them for further review. All in all, DISCO's search functionality, review management tools, and AI prioritization, WFW was able to complete the review and disclosure process in just two months.

Using Legal Technology to Cut Costs and Save Time in a Highly Complex International Disclosure Exercise

Ediscovery
AI

Watson Farely & Williams used DISCO to assist with disclosure for a multi-billion pound value English High Court case. It was a complex and highly sensitive matter with documentation emanating from different parts of the world. With such a large-scale, sensitive, geographically dispersed, and short timeframe, WFW knew technology had to play a major role. Specifically, AI technology. WFW found DISCO to be the most cutting edge, flexible, transparent, and easy to use. DISCO's flat-rate pricing was also key so they could ensure cost clarity to their client. They were able to work with DISCO's project management team to train 18 WFW reviewers. The platform also allowed WFW team members to create a precise review workflow. They were able to carefully prepare a document tagging system, identify a pool of some 250,000 potentially relevant documents and split the review and AI training into five phases. Due to the nature of the case being sensitive information, DISCO's search functionality allowed WFW to identify potentially privileged documents and segregate them for further review. All in all, DISCO's search functionality, review management tools, and AI prioritization, WFW was able to complete the review and disclosure process in just two months.