Using AI to Build a First Case Chronology

A brief arrives as it always does: a bundle of correspondence, some undated notes, a few contracts, and a client who remembers the sequence differently each time you ask. Building the chronology is the work that turns that pile into a case, and it is slow, mechanical, and easy to get wrong by a day that later matters. AI is genuinely good at the extraction part, pulling dated events out of dozens of documents faster than any junior. What it is not good at is telling a document's date from the date of the event the document describes, and that distinction is where a chronology quietly goes wrong.

Extract into a table, not a story

Ask the model for structured rows, not a flowing narrative. A narrative reads well and hides gaps; a table forces every event to declare its evidence. Request, for each event, these fields:

• The event date, as stated in the source
• The document date, which is often different
• The source document and page or paragraph
• The person or party the event concerns
• A confidence or uncertainty note where the date is inferred

A table you can sort, filter, and check beats a paragraph you can only admire.

Separate the event date from the document date

This is the single most important discipline in a chronology and the one models get wrong. A letter written on 10 March may describe a meeting that happened on 2 February. The event goes on the timeline under 2 February; the letter is merely the evidence. If the model collapses these, your chronology will place events by when they were recorded rather than when they occurred, and the sequence that decides the case will be subtly false.

Resolve conflicts and duplicates deliberately

The same event often appears in several documents with slightly different dates, an email says Tuesday, an invoice says the following Monday. Do not let the model silently pick one. Surface the conflict, decide which source is more reliable and why, and record that reasoning. Duplicates need the same care: two entries describing one event should be merged, but only once you have confirmed they are the same event and not two similar ones a week apart.

Trace every entry back to its source

A chronology is only as good as your ability to defend each line in it. For every event, you should be able to open the document it came from and point to the passage. Treat the model's extraction as a draft index into the bundle, then verify the entries you will actually rely on against the pages themselves. An event you cannot trace to a source is a claim, not a fact, and it should be marked as one until you can.

Keep the uncertain entries visible

Do not let inference disappear into the clean rows. Maintain a separate, explicit list of dates that are estimated, disputed, or drawn from memory rather than a document. When you take the chronology into a conference or a hearing, you need to know instantly which dates are solid and which will not survive a challenge. A timeline that presents every entry with equal confidence is the one that embarrasses you under cross-examination.

Hand over a checkable timeline

The finished chronology should let a colleague reopen every source without asking you. That means source references on each entry, the reasoning behind any resolved conflict, and the uncertainty list attached. Built this way, the timeline is a working tool the whole team can rely on, not a document only its author understands.

Used well, AI compresses the slowest part of case preparation from days into an afternoon, and lets you spend the saved time on the judgement calls, which date to trust, which sequence to argue, that no model can make for you. The machine drafts the timeline. You decide what it means.