For in-house legal teams, modern matters rarely begin with one clean folder of documents. Data may live across email, Microsoft Teams, Slack, mobile devices, cloud repositories, laptops, shared drives, and business systems. As corporations look for ways to reduce legal spend and move faster, AI-supported eDiscovery can help organize that data earlier, focus review, and turn scattered information into usable evidence.
Start by Understanding the Data Universe
Before attorneys can review evidence, they need to know where the information lives. That may include Microsoft Teams conversations, Slack exports, text messages, OneDrive folders, email archives, mobile devices, databases, or older file shares that have not been accessed in years.
This first step is critical because AI and analytics are only as useful as the data behind them. If important sources are missed, collected incorrectly, or processed without context, review teams may be working from an incomplete picture. Our team helps identify likely data sources, understand how those sources store information, and determine the best path for collection, processing, review, and production. For General Counsel and Associate General Counsel, that early clarity can also help define the scope of outside counsel, control timelines, and avoid paying review teams to sort through poorly organized information.
Preserve Data in a Defensible Way
Disorganized data becomes even harder to use when it is collected improperly. A simple copy-and-paste approach may alter metadata, miss hidden files, or create questions about whether the information was handled correctly.
Through forensic data collection, we help preserve electronically stored information in a forensically sound manner. That includes data from computers, laptops, servers, cloud repositories, email accounts, tablets, and smartphones. Our goal is to maintain integrity, document the process, and give counsel confidence that the evidence can withstand scrutiny.
Defensible collection also supports better downstream eDiscovery. When data is preserved correctly, it can be processed, searched, analyzed, and reviewed with greater confidence.
Reduce Noise Before Review Begins
Large data sets often contain duplicates, irrelevant system files, long email chains, old drafts, and repeated attachments. Without a thoughtful process, review teams can spend valuable hours looking at the same information again and again.
Our eDiscovery and data analytics support helps legal teams narrow the data set before review begins. Tools such as keyword searching, data culling, conceptual groupings, document clustering, and inclusive email thread review can help surface important documents faster. For corporate legal departments, a cleaner data set can mean fewer review hours, more focused involvement from outside counsel, and earlier visibility into the matter.
AI-Supported Workflows to Focus Review
Artificial intelligence can help legal teams move through large data sets more efficiently, but it works best when paired with a thoughtful eDiscovery strategy. AI-supported review tools can help identify patterns, prioritize likely-relevant documents, group similar content, and reduce the amount of low-value material that attorneys need to review manually.
For General Counsel and Associate General Counsel, this matters because document review is often one of the most expensive parts of discovery. By combining eDiscovery analytics, RelativityONE-supported workflows, and experienced project management, we help legal teams use AI-supported processes to achieve cost control, speed, and defensibility.
Turn Mixed Formats Into Reviewable Evidence
Legal data rarely arrives in one consistent format. A matter may include PDFs, spreadsheets, emails, text messages, chat exports, images, attachments, and files from cloud platforms. Each source may require a different approach before it becomes useful for review.
We help normalize that information so legal teams can work with it in a structured, searchable, and review-ready format. Instead of sorting through disconnected files, attorneys can evaluate communications, attachments, timelines, custodians, and document families with greater context. This is where complex data begins to become usable evidence.
Use Technology Without Losing Human Judgment
Technology can help legal teams move faster, but it should not replace experienced project management. Analytics, predictive coding, and technology-assisted review are most valuable when they are paired with people who understand legal workflows, deadlines, productions, and defensibility.
Through our RelativityONE partnership and broader eDiscovery technology stack, we support processing, hosting, review, and production workflows for litigation teams that need both speed and control. The result is not just a platform. It is a guided process built around the needs of the matter, the data involved, and the legal team’s goals.
Make the Evidence Easier to Act On
The end goal of eDiscovery is not simply to collect and process data. The goal is to help attorneys understand what happened, where the strongest documents are, and how the facts support the case.
When data is properly organized, legal teams can identify patterns, find key communications, prepare for depositions, respond to discovery requests, evaluate settlement posture, and make strategic decisions with greater confidence. AI-supported eDiscovery can strengthen that process by helping teams move from massive data sets to more focused insight.
Ready to Make Complex Data More Manageable?
Since 1980, Parcels has supported law firms and corporate legal departments with outsourced legal support from discovery through trial. Whether a matter involves forensic collection, eDiscovery, data analytics, AI-supported review workflows, hosted review, or production support, our team helps turn disorganized information into usable evidence. Contact Parcels to learn how we can help your legal team control review volume, reduce discovery friction, and move from scattered data to informed decisions.
Frequently Asked Questions
What does it mean to make legal data “digestible”?
It means taking scattered, disorganized, or hard-to-review information and turning it into a format legal teams can search, review, analyze, and use as evidence. This may include organizing emails, chat messages, files, attachments, mobile data, and cloud-based records.
Why is forensic data collection important in eDiscovery?
Forensic data collection helps preserve information in a defensible way. Instead of simply copying files, the process is designed to protect metadata, document how the data was collected, and reduce questions about whether the evidence was altered or mishandled.
How can eDiscovery analytics help legal teams?
eDiscovery analytics can help reduce noise in large data sets by identifying duplicates, grouping related documents, surfacing key communications, and helping review teams focus on the information most likely to matter.
What types of data can become usable evidence?
Usable evidence may come from emails, text messages, Microsoft Teams or Slack conversations, mobile devices, cloud folders, shared drives, spreadsheets, PDFs, databases, and other digital sources connected to the matter.
When should a legal team contact Parcels?
Legal teams should contact Parcels when data is spread across multiple sources, when a collection needs to be defensible, when review volume is difficult to manage, or when disorganized information needs to be turned into usable evidence for litigation, investigation, or production.
< Return to News
Skip to content