Start by defining what matters
A large bundle becomes manageable when the review has a clear purpose. Before searching, write down the questions you need to answer: the relevant period, parties, events, obligations, disputed issues and documents that may prove or disprove a point. This gives the team a common frame for deciding what is important and prevents broad, unfocused reading from consuming the available time.
Create a reliable map of the bundle
Prepare a document list that records each file, its date, type, source, parties and any obvious relationship to another document. Separate originals from working copies and identify duplicates, missing attachments and unreadable files early. A simple inventory is valuable because it makes gaps visible and gives reviewers a route back to the source when a fact is later questioned.
Search in layers, not with one broad query
Begin with names, dates, project terms, addresses, contract clauses and other distinctive terms. Then expand the search using variations, abbreviations and related people or events. Review the surrounding passage rather than relying on a search hit alone: a word may appear in a forwarded email, a draft, or a statement that was later corrected. Layered searching helps connect isolated references into a defensible picture.
Turn findings into a chronology and issues view
As material facts emerge, record the date, event, people involved, source document and page or paragraph reference. Keep a separate issues list for questions that remain open, conflicting accounts, documents to request and points requiring legal analysis. These working views make it easier to see patterns across correspondence, agreements, notes and attachments, and let another reviewer understand how the bundle supports each finding.
Use AI to speed up discovery and first-pass summaries
AI tools can help index approved documents, locate references across a matter, cluster related material and produce a first-pass summary, chronology or evidence-gap list. They are especially useful when a reviewer needs to orient themselves in hundreds of documents or compare information that is spread across many files. Ask focused, scoped questions, such as which documents mention a particular event or what correspondence records a change in position, rather than relying on a general request to explain the whole bundle.
Treat AI output as a guide back to the evidence
An AI summary can overlook context, confuse similar names or miss a qualification in the source. For every material point, open the underlying document and check the relevant passage, its date, its author and the surrounding text. Record uncertainty and conflicting evidence instead of asking the tool to resolve it. The responsible workflow is AI-assisted discovery followed by human verification and professional judgement.
Keep the review current and shareable
Document bundles change as new material arrives. Update the inventory, chronology and issues list as part of the normal matter workflow, and make clear who owns each open question. A well-maintained workspace means the next search starts from a useful record rather than from the beginning. The result is not merely faster review: it is a clearer evidence trail for advice, strategy, handover and client communication.