Legal Tech & Innovation

How Technology Is Changing Litigation

E-discovery, remote hearings, and legal AI are quietly rewiring how disputes get run. Here is what the tools actually change, and what they don't.

Daniel Kwon· Legal careers writer6 min read
A tidy desk with a laptop, notepad, and a coffee mug in soft daylight
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Ask a litigator who started practising in the 1990s what a big case used to look like, and they will describe a room. Bankers boxes stacked to the ceiling, junior lawyers on their hands and knees, a photocopier running so hot it had a name. The dispute itself has not changed much: two sides, a set of facts, a decision-maker. But nearly everything around it has.

If you are heading into litigation as an articling student or a new call, the machinery you will operate is not the machinery your professors trained on. Here is an honest look at the tools reshaping how disputes are run, and where the human part still lives.

The document problem, and how it got solved

Litigation has always been a fight over documents. What changed is the sheer volume. A modest commercial dispute can now involve hundreds of thousands of emails, chat messages, spreadsheets, and file versions, because that is simply how businesses generate records now.

This is where e-discovery (electronic discovery) enters, and it is probably the single biggest technological shift in modern litigation. Instead of physically reviewing paper, litigation teams load collected data into a review platform. From there the software does things no team of humans could do at that scale:

  • De-duplication and threading. It collapses the same email forwarded forty times into one item, and groups a conversation so you read it as a thread rather than as scattered fragments.
  • Search and filtering. You can slice millions of records by date, sender, keyword, or file type in seconds.
  • Technology-assisted review. You code a sample of documents as relevant or not, the system learns your judgment, and it ranks the rest by likely relevance so the team reads the important material first.

That last one, often called predictive coding, is worth understanding because Canadian courts have generally accepted it as a defensible way to manage proportionality in discovery. The point is not that a machine decides your case. The point is that a machine lets you find the twelve documents that matter inside the two million that do not.

A tidy workstation with a laptop and notebook in daylight
The review platform is now where most litigation actually happens.

Hearings without the courthouse

The pandemic did in eighteen months what two decades of committee reports could not: it made remote proceedings normal. Case conferences, examinations for discovery, mediations, and many motions now happen by video as a matter of routine, not exception.

For a junior lawyer this is a genuine gift. You can attend and observe far more proceedings than you ever could when every appearance meant travel and a full morning gone. You will also spend real time learning the unglamorous craft of the virtual hearing: sharing an exhibit cleanly, keeping a witness on one screen and your outline on another, and resisting the urge to speak over the small audio delay.

A senior litigator once told me the video era exposed who had actually read the file. When you cannot fill the room with your presence, all you have left is knowing your case cold.

Courts still reserve in-person hearings for trials and matters where credibility and gravity call for a courtroom. But the default has shifted, and the profession is not going back. If you want a sense of how uneven that shift still is across the country, our guide on articling across provinces is a useful companion, since local practice culture drives a lot of it.

Where artificial intelligence fits, honestly

Legal AI is the loudest topic in the profession right now, and also the most misunderstood. It helps to separate what the tools genuinely do well from the hype.

They are strong at first-draft work: summarizing a long transcript, pulling every reference to a date or a defined term out of a contract, generating a rough chronology, or turning your rambling notes into a structured outline. They accelerate the tedious middle of a task.

They are weak, and sometimes dangerous, at anything requiring reliable authority. The now-famous cautionary tales of lawyers filing submissions with invented case citations are not urban legend. Generative models can produce fluent, confident text that is simply wrong, including cases and quotations that do not exist. A litigator who files that has committed the technological version of a very old sin: citing something they never actually read.

The working rule that experienced litigators land on:

  1. Use the tool to draft and to speed up, never to decide.
  2. Verify every citation, quotation, and factual claim against the primary source yourself.
  3. Assume anything you put into a public tool may not be confidential, and treat client data accordingly.

We go deeper on this in AI in legal practice in Canada, and if you want a broader survey of the software worth learning early, legal tech tools worth knowing covers the ground. You can also browse the rest of our legal tech writing for more.

Two colleagues reviewing a document together in a bright meeting room
The tech drafts; a person still has to be accountable for it.

Legal research changed more subtly than e-discovery, but the change is deep. The old skill was knowing where to look: which reporter, which digest, which citator. The new skill is knowing what to ask and how to tell when the answer is incomplete.

Research platforms now surface relevant authority through natural-language queries and flag whether a case has been followed, distinguished, or overturned. That is a real gain in speed. The risk is a false sense of completeness. A confident results page can lull a junior into thinking the question is closed when the governing authority in their province, or a recent appellate decision, is sitting just outside the search.

The lawyers who use these tools best treat them as a fast first pass, then apply old-fashioned judgment about whether the picture is whole. The technology finds cases. It does not yet know which case wins.

What has not changed, and probably will not

Strip away the platforms and a dispute is still a dispute. Someone has to decide what theory of the case to run. Someone has to look a witness in the eye and gauge whether the story holds. Someone has to stand up, virtually or otherwise, and persuade a human decision-maker who has heard every argument before.

Technology has removed a mountain of drudgery and made small firms genuinely competitive with large ones, because you no longer need forty juniors to review documents. It has not touched judgment, advocacy, or the relationship of trust between a lawyer and a frightened client. If anything, as the mechanical parts get automated, those human skills become the entire value a litigator offers.

For students, the practical takeaway is simple. Get comfortable with the tools early, because firms increasingly expect it and it makes you useful on day one. But do not mistake fluency with software for competence as a litigator. The software is the easy part to learn. The judgment takes years, and no one has automated it yet.

Getting hands-on before you are called

You do not have to wait for a job to build this fluency. Ask to be staffed on a matter in document review, even briefly, so you see a real review platform in action. Sit in on remote examinations when a supervising lawyer allows it. When you use a research or drafting tool, deliberately check its work against the primary source until verifying becomes a reflex rather than a chore.

If you are still mapping out where you want to practise, litigation-heavy roles show up constantly on our job board, and the day-to-day texture varies a lot between a Bay Street firm and a small shop. Both use these tools; they just use them at very different scales.

The litigator you want to become is not the one who is fastest with the newest software. It is the one who knows exactly what the software is for, and exactly where its judgment ends and yours begins.

D

Written by

Daniel Kwon

Legal careers writer

Daniel covers the business of legal careers: compensation, firm structures, and the tradeoffs nobody explains in law school. He likes numbers, but he likes honest context around them even more.

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