Learn how DLA Piper & Orbital Data reduced investigation costs by 80% with Reveal

Problem Statement

When faced with complex investigations into bribery, corruption, and cartel activity, organizations often struggle with the sheer scale and unstructured nature of their data. Recognizing that “big data problems need big data solutions” (Ilan Sher, Executive Director, Aiscension), DLA Piper decided to tackle this head-on by building a groundbreaking AI-powered solution: Aiscension. Leveraging Reveal’s technology and Orbital’s consulting expertise, Aiscension changes the landscape of investigations.

Key Challenges

Traditionally, both internal and external investigations require a significant amount of time, dedicated resources, and expertise. Often, large volumes of documents are collected, processed, and manually reviewed to confirm or disprove allegations of wrongdoing—a process that can take weeks or even months to conclude. However, when suspicions of bribery, corruption, or cartel activity arise, it is crucial to act quickly to mitigate legal, financial, and reputational risks. Many jurisdictions impose severe penalties, including fines and criminal liability, making prompt action essential for compliance. Delays can allow misconduct to escalate, evidence to be destroyed, and individuals to repeat offenses, putting the entire business at risk. So, how can you ensure timely intervention when traditional methods are too slow? That’s where Aiscension comes in!

How Challenges Were Addressed

Aiscension’s bespoke AI models, trained using DLA Piper’s legal expertise and subject matter specialists, address the need for both effectiveness and efficiency in investigations. In collaboration with Reveal’s cutting-edge AI platform and Orbital’s experienced industry professionals, these three entities achieve the perfect balance between legal knowledge, AI software, and project execution.

Key Features & Expertise

AI-Drive Risk Detection

• Aiscension provides custom trained AI models curated to identify high-risk behaviours such as bribery and cartel activities.
• Aiscension can be used proactively in compliance audits to spot potentially harmful business conduct and prevent further issues arising.

Bespoke eDiscovery Processes

• Orbital’s bespoke eDiscovery workflow maximises the effectiveness of DLA Piper’s AI models using Reveal’s review platform.
• From defensible evidence management, standardised data processing to data culling, review set up and project management, Orbital ensures Aiscension projects are delivered seamlessly to end clients.

Portability and Scalability

• Reveal’s portable AI models provide easy application across new investigations of all sizes and in various jurisdictions.
• Reveal ensures the learnings from each investigation are applied to the models, meaning the models are continuously updated and improved.

The ROI Results of Using Reveal & Orbital

This collaboration delivers unparalleled cost and time savings, transforming the ability to handle investigations. Aiscension reduces the document review population to less than 1% of the material collected.

During a recent investigation, Orbital prepared a data set of 2.6 million documents to which Aiscension was applied. The AI model identified 0.1% of the documents which needed to be reviewed manually, of which 350 documents were flagged as relevant by the client. Additionally, the “Smoking gun” document was discovered within the first day of review.

Conclusion

The collaboration between DLA Piper, Orbital Data Consulting, and Reveal has proven to transform the way complex investigations are conducted. By leveraging Aiscension’s bespoke AI models, Orbital’s expert consulting, and Reveal’s cutting-edge technology, the partnership has not only significantly reduced investigation costs and time but also enhanced the overall effectiveness and efficiency of the process. This powerful combination ensures that businesses can now achieve faster, more reliable outcomes while maintaining compliance and mitigating risk—an invaluable advantage in today’s fast-paced, data-driven world.