Arctera eDiscovery vs redactX

Arctera eDiscovery supports legal, governmental, and corporate organizations managing digital evidence and document discovery across on-premises, cloud, and hybrid environments. It can be deployed on premises, hosted in the cloud, or delivered as SaaS, and spans legal hold, data capture, processing, review, analysis, and production. Teams can automate up to 100 searches at a time using keywords and metadata. Collection includes prebuilt and custom connectors and custodian mapping for tracing data relationships. Analytics handles multiple formats and languages; review tools include concept-based and audio or video keyword search, redaction, conversation threading, and item tagging. Legal Hold Management covers notices, reminders, custodian surveys, and a portal for collecting data. Case teams can collaborate with distinct privileges, share searches, and add notes and tags. The SaaS offering includes InsightAI, described as using NLP, machine learning, and generative AI. The product supports requirements including FOIA, CCPA, and Data Subject Access Requests. Pricing is on request and there is no free plan. A pilot trial license expires after 60 days or when the pilot service ends, whichever comes first.

redactX automates redaction across documents, images, video, and audio using natural language processing, computer vision, and speech recognition. The company says it processes more than 100 input formats. Document tools include OCR, over 95 preconfigured named entities, custom zero-shot entity definitions, reusable templates, and batch workflows. For images and video, it can identify faces, objects, and text in over 90 languages. For audio, multilingual speech recognition creates transcripts for review and translation, and specified spoken words can be muted or bleeped. Teams can collaborate on assignments, compare revisions, schedule recurring tasks, and generate reports about redaction work. A REST-based API supports integration with customer applications, and the software can monitor a drive or S3 bucket. Deployment options include on-premises Windows or Linux and cloud-based AWS Machine Images. The maker presents the product for law enforcement, government, healthcare, and legal services. Pricing is available on request, and subscriptions are yearly; AWS usage is billed by the hour, with one- and two-year subscriptions available at lower prices.