Managing large and complex eDiscovery cases is no small feat. With millions of documents, a multitude of data formats, global custodians, and relentless deadlines, these matters call for more than just manpower – they need the right strategy, scalable tools, smart technology, and experience to match. That’s where Salient comes in.
Why complexity demands expertise
In large-scale litigation, cost, risk, and legal defensibility ramp up quickly. Every step – from data preservation through to review – needs to be handled with precision. At Salient, we combine deep domain expertise with state-of-the-art technology to meet these demands head-on, helping our clients navigate complexity with speed and confidence.
Our team includes seasoned professionals with extensive backgrounds at top-tier consultancy firms. They’ve led global investigations, wrangled multi-terabyte datasets, and managed everything from standard collections to urgent Anton Piller court orders. It’s this experience that shapes our practical, outcomes-focused approach.
We’re also committed to staying sharp. Ongoing training and a culture of curiosity keep our team current with emerging technologies and best practices. And because every case is different, we build tailored workflows that strike the right balance between speed, cost control, transparency, and defensibility.
Strategic collections at scale
Complex matters often involve multi-jurisdictional data and tight turnaround times. Whether it’s a straightforward legal hold or a court-ordered Anton Piller execution, we approach every collection with discretion, legal rigour, and technical precision.
In one recent case, we carried out a cross-country Anton Piller collection under judicial oversight, capturing over 15 terabytes of data in less than 48 hours. Coordinating with law enforcement, IT teams, and legal counsel, we ensured full compliance while keeping business disruption to a minimum.
We also work closely with internal stakeholders to align efforts, reduce operational impact, and meet legal standards across a variety of environments.
Powered by Reveal: technology that scales
At the heart of our operations is the Reveal platform: a cloud-native, AI-driven solution built for enterprise-scale eDiscovery. Reveal supports key stages of the EDRM, from collection through to production, offering a powerful and cohesive environment for even the most demanding matters.
With Reveal, we can ingest and analyse vast datasets in record time. Its infrastructure is designed to scale with growing demands, maintaining high performance no matter the data load. Features like visual relationship maps, interactive dashboards, concept clustering, and automated workflows make it easier to find what matters, fast.
Reveal also integrates seamlessly with other review platforms, analytics tools, and custom scripts, giving our teams the flexibility to meet unique case requirements. And with ISO 27001 certification, SOC 2 compliance, GDPR alignment, and strong encryption protocols, clients can be confident their data is secure, regardless of jurisdiction.
It’s also worth noting that Reveal’s platform development is shaped by its users. We work closely with Reveal’s product team to provide feedback from the front lines, helping drive improvements that reflect the realities of complex legal work.
Accelerated Early Case Assessment (ECA) with Generative AI
Early insight is critical when large volumes of unstructured data are in play. Generative AI helps make that possible, cutting through the noise and speeding up early case assessment (ECA).
By summarising document sets, providing interactive natural language questioning capability and even generating draft interrogation questions, generative AI reduces the time and manual lift needed to search and assess the evidence and get to the core issues. Teams can surface themes, map relationships, and flag anomalies in hours rather than weeks.
For example, we helped a global financial client shrink their review set by 70% in just a few days using Reveal’s generative AI tools. That meant earlier risk assessment, quicker custodial prioritisation, and a faster, more informed strategy – without the traditional upfront cost and time burden.
Smart review with CAL and Generative AI
Once ECA is complete, the review phase begins – and that’s where our use of Continuous Active Learning (CAL) shines and Generative AI is forging a role.
CAL is a machine learning method that updates the model in real time as human reviewers code documents. Moving forwards, combining CAL with Generative AI to train and stabilise models much faster than traditional methods is the future. Once built, those models are refined through human-in-the-loop validation, creating an adaptive workflow that’s both efficient and defensible.
This setup prioritises the most likely relevant documents, filtering out the noise and reducing fatigue and cost for human reviewers. It’s an iterative approach that keeps getting better as the case evolves.
Innovative models for cost predictability
Conventional eDiscovery pricing – especially per-gigabyte or hourly models – can quickly become unpredictable in rolling matters or multi-phase investigations. That’s why Salient offers a flexible subscription model designed for ongoing control.
It’s a flat-fee structure that covers processing, hosting, and analytics, allowing clients to scale up or down as case needs shift. One major telecoms client recently used this model to great effect, processing new data in manageable increments and culling non-responsive material before ingesting the next batch to avoid unnecessary storage or review costs.
By aligning the review with evolving priorities and only retaining what was relevant, the team was able to forecast spend, justify budgets, and avoid cost surprises – all while maintaining strategic momentum.
A scalable, defensible, and cost-efficient future
Large and complex eDiscovery cases are becoming the norm rather than the exception. Fortunately, with the right combination of expertise, tools, and flexibility, even the most complex matters can be handled clearly and confidently.
Salient partners with legal teams to navigate every stage of this process – whether coordinating cross-border collections, accelerating insight with AI, or building lean, defensible review strategies.
If you’re facing a matter that demands scale, speed, and precision, we’re here to help you think it through.
How can Salient's scalable e-discovery solutions enhance early case assessment?
Salient’s scalable e-discovery solutions significantly enhance early case assessment by utilising AI to quickly process and analyse large volumes of unstructured data. This technology enables the summarisation of document sets and offers interactive natural language questioning, which allows legal teams to gain early insights and prioritise custodians effectively.
AI assists in surfacing themes, mapping relationships, and identifying anomalies, which accelerates the assessment process. For instance, Salient helped a global financial client reduce their review set by 70% within days, enabling a faster and more informed strategy without the traditional time burden.
What role does the Reveal platform play in managing high-volume e-discovery matters?
The Reveal platform is central to managing high-volume e-discovery matters due to its cloud-native, AI-driven capabilities. It supports key stages of the EDRM, from data collection to production, ensuring high performance even with vast datasets. Its features, such as visual relationship maps and interactive dashboards, facilitate quick identification of relevant data.
Reveal’s seamless integration with other platforms and tools provides flexibility to meet unique case requirements. With compliance certifications like ISO 27001 and SOC 2, clients can trust that their data is secure across jurisdictions. Salient’s collaboration with Reveal ensures continuous improvement of the platform to meet complex legal demands.
How does Salient ensure legal defensibility in cross-border data collections?
Salient ensures legal defensibility in cross-border data collections by employing a strategic approach that combines discretion, legal rigour, and technical precision. This involves coordinating with law enforcement, IT teams, and legal counsel to maintain compliance and minimise business disruption during data collection processes.
For example, Salient executed a cross-country Anton Piller order under judicial oversight, capturing over 15 terabytes of data in under 48 hours. By aligning efforts with internal stakeholders and adhering to legal standards, Salient effectively manages multi-jurisdictional complexities, ensuring defensibility and reducing operational impact.
What advantages does Continuous Active Learning (CAL) offer in the e-discovery review process?
Continuous Active Learning (CAL) offers significant advantages in the e-discovery review process by continuously updating the machine learning model as human reviewers code documents. This real-time adaptation prioritises the most relevant documents, reducing noise and reviewer fatigue, which in turn lowers review costs.
By integrating CAL with Generative AI, Salient enhances model training and stabilisation, creating an adaptive workflow that is both efficient and defensible. This iterative approach ensures that the review process remains dynamic and responsive to evolving case needs, ultimately improving the accuracy and speed of document review.
How does Salient's subscription model provide predictability in large-scale litigation?
Salient’s subscription model offers predictability in large-scale litigation by providing a flat-fee structure that covers processing, hosting, and analytics. This model allows clients to scale their e-discovery efforts up or down based on the case’s evolving needs, avoiding the unpredictability of conventional per-gigabyte or hourly pricing models.
For instance, a major telecoms client utilised this model to process new data in manageable increments, effectively culling non-responsive material before ingesting further data. This approach enabled the client to forecast spend accurately, justify budgets, and maintain strategic momentum without unexpected financial surprises.
