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Automation Systems Data Collection e-Discovery

Purpose Legal

Seamless Integration: Why Infrastructure-as-a-Service is Essential for eDiscovery

Purpose Legal on

Infrastructure-as-a-Service (IaaS) is a vital model for law firms seeking better ways to organize eDiscovery data and streamline the discovery process. With thousands of documents and pieces of information to collect,...more

Lighthouse

5 Practical Ways to Use AI in eDiscovery—and Save Time and Money

Lighthouse on

Summary: Discover five practical ways to use AI in eDiscovery, including early case assessment and automating data collection, to streamline workflows, cut costs, and improve accuracy—transforming legal review and...more

J.S. Held

Leveraging Generative AI in Complex Investigations

J.S. Held on

Complex investigations are on the rise with investigators being asked to do more with less, therefore needing to gain efficiency to handle workloads. A complex investigation can be triggered by a litigation event, government...more

Reveal

eDiscovery 101: Best Practices For Setting Up An eDiscovery Operation

Reveal on

eDiscovery refers to discovery in legal proceedings such as litigation, government investigations, or Freedom of Information Act requests, where the information sought is in electronic format. eDiscovery tools can also be...more

Ankura

Streamlining Document Review in Due Diligence: How e-discovery Tools Enhance Efficiency

Ankura on

In the fast-paced world of legal due diligence, efficiency and accuracy are paramount. Law firms often face the daunting task of sifting through massive volumes of documents to uncover relevant information. This process can...more

Lighthouse

How Name Normalization Accelerates Privilege Review.

Lighthouse on

One of the many challenges of electronic information and messaging rests in ascertaining the actual identity of the message creator or recipient. Even when only one name is associated with a specific document or...more

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