The Challenge: A national transportation company faced high-volume litigation with thousands of...
eDiscovery
Featured
From 4 Weeks to 1: How Array UK Reduced Review by 75% with Relativity aiR Mid-Project
|
The Challenge:
A mid-tier London law firm was managing a matter involving a data set of approximately 100,000 documents requiring first-pass review.
The team initially relied on a conventional linear review approach. A group of 10 human reviewers began analysing the data set using standard workflows including keyword searching, file type filtering, image identification, email threading, and deduplication. Basic analytics were applied to prioritise documents, but the process still required reviewers to manually assess a large proportion of the data set.
Despite these efforts, the review quickly became difficult to sustain.
With approximately 83,000–84,000 documents still remaining, the projected timeline for first-pass review was around four weeks. Estimated costs were roughly £70,000, excluding the additional oversight that would likely be required from a review manager.
The process was also highly resource intensive. Reviewers were spending most of their time manually scanning documents rather than focusing on higher-value tasks such as issue analysis or privilege review. The workflow also lacked flexibility – making it difficult to adapt if new data appeared or deadlines accelerated.
Recognising the timeline was becoming unattainable, the firm approached Array for assistance.
CHALLENGE
Our client's first-pass review of ~100,000 documents was falling behind, with 83,000+ remaining and a 4-week timeline.
RESULTS
Array introduced Relativity aiR mid-project with rapid prompt development and targeted human validation, resulting in a 75% reduction in review population and ~£50K saved.
KEY PRODUCT
Relativity aiR for Review
The Solution:
Working with Array, the team explored using Relativity aiR for Review to accelerate the process while maintaining high recall of relevant documents.
As the firm had not previously used aiR, the rollout began with a small test batch to validate the results and build confidence before expanding across the full data set. Implementation was both straightforward and rapid, allowing the team to move quickly from testing to full deployment.
The client provided prompt feedback within hours, allowing the Array team to develop and refine prompts within just three to four days. Once the optimal prompt structure was established, aiR for Review was applied across the remaining document population.
The workflow also proved highly flexible. Any additional or unexpected documents could be processed immediately without requiring additional setup, allowing the team to maintain momentum and avoid delays.
By combining AI-driven analysis with targeted human validation, the review process shifted from broad manual scanning to focused evaluation of the most relevant material.
The Results:
The results delivered immediate efficiency gains:
- Prioritisation of Material: 75% reduction in the remaining review population
- Significant Financial Impact: £50,000 in estimated savings
- Drastic Acceleration: Project completed in 1 week, instead of 4
With a significantly smaller and more relevant document population, the review team was able to concentrate on higher value tasks like privilege review, validation, and quality control rather than spending time on broad first-pass scanning.
The ability to see clear explanations for why documents were identified as relevant also helped build trust in the AI output and gave the legal team confidence in defending the review process if required.
£50,000
Cost Savings
75%
Reduction in Remaining Review Population
Expertise Meets Action
Array, a Relativity Gold Partner, has long been at the forefront of innovation within the Relativity ecosystem. With a team of over 57 RelativityOne-certified professionals holding more than 113 certifications, we bring deep expertise to every engagement. As an early adopter of Relativity aiR, our team has built custom generative AI workflows to reduce friction and deliver better outcomes for clients.
.jpg?width=400&name=iStock-1419766496%20(6).jpg)
.jpg?width=400&name=iStock-2236800897%20(1).jpg)