List of OpenText Axcelerate with Aviator Customers
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Since 2010, our global team of researchers has been studying OpenText Axcelerate with Aviator customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased OpenText Axcelerate with Aviator for Intelligent Document Processing from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using OpenText Axcelerate with Aviator for Intelligent Document Processing include: Pillsbury Winthrop Shaw Pittman, a United States based Professional Services organisation with 1500 employees and revenues of $750.0 million, Stinson Morrison Hecker LLP, a United States based Professional Services organisation with 500 employees and revenues of $263.0 million, Phillips Lytle, a United States based Professional Services organisation with 340 employees and revenues of $55.0 million and many others.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Phillips Lytle | Professional Services | 340 | $55M | United States | OpenText | OpenText Axcelerate with Aviator | Intelligent Document Processing | 2021 | n/a |
In 2021 Phillips Lytle implemented OpenText Axcelerate with Aviator on the OpenText Axcelerate eDiscovery Cloud Platform to standardize eDiscovery workflows and centralize document handling under an Intelligent Document Processing posture. The engagement centers on cloud-hosted eDiscovery capabilities for the firm, explicitly targeting legal and eDiscovery operations in the United States and aligning the deployment to firmwide review and investigation workflows.
OpenText Axcelerate with Aviator was configured to emphasize analytics and machine learning driven review, automated document ingestion, processing and indexing, and analyst-facing review accelerators to speed investigation lifecycle tasks. Functional capabilities implemented include analytics led culling and prioritized review, machine learning assisted tagging and clustering, and forensic search and review support consistent with Intelligent Document Processing expectations for eDiscovery workloads.
Operational coverage focuses on the firm s legal and eDiscovery teams across Phillips Lytle in the United States, with the cloud architecture used to reduce on premises infrastructure needs and to centralize case data and review activity. No system integrator is referenced, and no specific third party enterprise system integrations are documented in the source materials.
Governance and process changes emphasized standardizing eDiscovery procedures and embedding analytics driven review into existing legal workflows, with rollout oriented toward accelerating investigations and reducing infrastructure costs as stated by the firm. The implementation therefore links Phillips Lytle, OpenText Axcelerate with Aviator, Intelligent Document Processing and legal eDiscovery functions to create a cloud native, analytics focused document review and investigation capability.
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Pillsbury Winthrop Shaw Pittman | Professional Services | 1500 | $750M | United States | OpenText | OpenText Axcelerate with Aviator | Intelligent Document Processing | 2018 | n/a |
In 2018, Pillsbury Winthrop Shaw Pittman standardized and expanded its AI enabled analytics alongside an existing OpenText Axcelerate deployment by implementing OpenText Axcelerate with Aviator as an Intelligent Document Processing solution for legal eDiscovery in the United States. The deployment was targeted at the firm’s eDiscovery practice to automate review workflows and surface richer case analytics for litigation and investigations.
Implementation emphasized core Intelligent Document Processing capabilities including automated document ingestion and classification, entity and concept extraction, AI driven document summarization, and analytics dashboards to support review prioritization. Integrations were centered on Axcelerate analytics and review modules, and operational coverage focused on legal eDiscovery teams within the United States, with standardized workflows and governance put in place to centralize AI enabled review controls and reporting. The use of OpenText Axcelerate with Aviator supported stated goals to speed eDiscovery processing, automate document summaries, and enable richer case analytics.
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Stinson Morrison Hecker LLP | Professional Services | 500 | $263M | United States | OpenText | OpenText Axcelerate with Aviator | Intelligent Document Processing | 2016 | n/a |
In 2016, Stinson Morrison Hecker LLP implemented OpenText Axcelerate with Aviator as an Intelligent Document Processing application to support legal eDiscovery workflows in the United States. The implementation was aligned to the firm’s professional services operations and intended to provide scalable document review and data extraction capabilities for litigation and discovery matters.
OpenText Axcelerate with Aviator was configured to deliver core Intelligent Document Processing capabilities typical for eDiscovery, including automated ingestion and OCR, text analytics and concept clustering, email threading and near duplicate detection, and technology assisted review with predictive ranking to prioritize attorney review queues. The deployment emphasized review workflow orchestration, searchable indices and analytic dashboards to structure review tasks and accelerate identification of relevant materials.
Operational ownership was established within legal and litigation support to govern review protocols, attorney privileging workflows and tagging taxonomies, while information governance practices guided evidence handling and chain of custody processes. Configuration and process decisions focused on matching Axcelerate’s analytics and TAR capabilities to legal review workflows and data curation practices used across the firm’s litigation teams.
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