Let the data name your templates
Pick the values in a knowledge type field from what most lawyers already call things, keep one term, and drop any word with two meanings
Every firm has documents full of square brackets and blanks. A lawyer changes the names and numbers, and they're good to go. Ask what to call one, though, and you'll get at least four answers: standard form, template, model and precedent.
Knowledge projects stall on this. Building a classification scheme means choosing the values in each field, and the knowledge type field is where firms lose months. Some corners of the firm say standard form, others say model, and each side has a preference. Indulge the discussion and it never ends in a way that satisfies anybody.
Leave it unsettled and the cost lands on the person searching. Suppose all four names survive as values in the filter. A lawyer who wants something reusable can't tell how anything was tagged, so they tick every box.
Count the names, then choose
Objectivity settles it. Choosing a term is no exercise for anybody's personal interest. Find out what most people call the thing, using surveys and conversations, and adopt the most common term. The answer then comes from data, and nobody has to win an argument.
The knowledge team has to keep control of the decision. Without that, every practice group weighs in and the debate takes months and months. A taxonomy designed by committee never gets finished.
One term for the whole firm
Some knowledge systems offer practice-specific synonyms, so one team sees "standard form" and another sees "model" for the same value. That overcomplicates things. Choose one term and get the firm round it. A practice group that has always said "standard form" can carry on saying it in meetings, and the filter shows the chosen word. Settling on one term from the data also saves a lot of political back and forth.
Drop words with two meanings
Clarity is the second test. Never use a term that could mean two things to two different people, and "precedent" fails it. To some lawyers a precedent is the square-bracket template. To others it's a piece of prior work product being reused on a new matter.
Two plainer words do the job. Everyone knows what a template is, so use "template" for the square-bracket document. Use "example" for prior work. Nobody confuses those two.
The ambiguity also spills out of the filter. When lawyers argue about whether AI can draft from precedents, some mean a widely accepted standard, like the LMA or ISDA documents, and others mean a contract from one specific deal. They end up agreeing or disagreeing about different things.
Spend the effort on the busy fields
Controlled vocabulary pays off most in high-volume fields. Knowledge type is one of them: hundreds and hundreds of documents get tagged as training, and hundreds more under whatever the firm calls its templates, so every overlap hits a lot of searches.
Legal topics behave differently. The list is long and keeps growing, and only a handful of documents might be tagged against it in a week. If two values overlap in a list of 500, that's an issue, but a smaller one. The work there is getting each practice's topics written down at all.
So save the strict rules for the short lists everybody filters by, and settle those from the data. Then the lawyer ticks one box, and the knowledge team gets to spend its hours elsewhere. Otherwise the next project will spend them deciding whether the practice group is called "Banking" or "Banking and Finance".