Lighthouse Self-Service Solution Uplevels Compliance Investigations

In-house legal and compliance teams use Lighthouse self-service eDiscovery orchestration and automation technology to achieve a more efficient and scalable approach to compliance monitoring.

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Reduction in Document Review


Savings Across a Single Investigation

Our self-service technology keeps clients well ahead of audits and compliance risks, while lowering the costs and inefficiencies inherent to compliance monitoring, particularly for companies working in heavily regulated industries. 

Clients avoid the processing fees and wait times that burden compliance reviews by quickly and easily loading their own data. Then, they leverage industry leading technology to create repeatable, scalable compliance workflows that quickly cull out irrelevant data and uncover key information. The results are lower risk, faster results, and unprecedented savings.

Repeatable and Effective Self-Service Compliance Investigation Workflow

Below, we’ve detailed a sample self-service compliance workflow—including real results that our clients have achieved at each step during internal investigations. Similar workflows have been used by our clients to deliver up to 96% reduction in document review and over $800K in savings across a single investigation.

Step 1: Automated Data Upload, Processing, and Deduplication

What it does: Reduces administration time, speeds up investigation setup, reduces hosting costs, reduces review population by removing duplicates 

Lighthouse self-service automation features reduce the manual set up tasks that often delay the start of an investigation (data import, processing, etc.). Clients can leverage Lighthouse’s native file managing technology at this point to significantly reduce hosting costs—by only loading native files if or when they’re necessary to the investigation. Once data is uploaded and processed, clients can deploy Lighthouse deduplication technology to immediately remove redundant data. 

Results: Enabled an investigation team to start analysis one week earlier than standard processing; reduced data population by 25%. 

Step 2: ECA Culling and Search Term Iteration 

What it does: Reduces review populations by removing irrelevant documents 

Once processed and deduplicated, clients use our customized culling and search term iteration processes to swiftly narrow the scope of documents for review. 

Results: Reduced review population of an internal investigation by over 78%.

Step 3: Thread Suppression and Proprietary Review Technology 

What it does: Reduces review populations by identifying the most unique documents 

Clients can then implement customized workflows that combine email thread suppression with Lighthouse review technology to identify the most unique documents. 

Results: Reduced review population of an internal investigation by over 50%. 

Step 4: Lighthouse TAR and Advanced Analytics  

What it does: Finds the key documents that matter to investigations. 

After the culling process, clients often deploy Lighthouse’s Continuous Active Learning TAR workflows to find relevant documents. Once reaching a point of diminishing returns, advanced analytics such as clustering, categorization, and concept searches can be deployed to ensure that no relevant documents were left behind. 

Results: Reduced review population of an internal investigation by over 60%.