Research grounded in a citator

The distinction that matters for legal research isn’t which model a tool uses — it’s whether answers are grounded in an authoritative, licensed case database with a citator behind them. Lexis+ AI sits on top of LexisNexis’s own content, so authorities it surfaces exist and can be checked, and you can follow every proposition back to the judgment.

That is the entire point. A general chatbot generates plausible-looking citations because plausibility is what it optimises for; a research platform retrieves real ones. Westlaw’s AI-assisted research and CoCounsel occupy the same ground. You still verify — but you’re verifying something that exists.

Alternative research platform

Vincent works across vLex’s large multi-jurisdictional collection, which makes it worth considering if your practice touches more than one legal system or if you want an alternative to the two incumbents. Like the others, its value is that it retrieves from a real corpus rather than generating text that resembles law.

Whichever you choose, the practical question for a small firm is what you’re already paying for. Many practitioners have research subscriptions whose AI features they’ve never enabled — check before adding another line to the budget.

The discipline, not a product

The cheapest protection available isn’t software. It’s a written rule that no authority reaches a document, a client or a court until someone has opened the judgment and confirmed it says what the citation claims — with the citator checked for subsequent treatment.

Given the court’s warning about leadership responsibilities, small firms should write this down: who verifies, at what point, and how it’s recorded. A one-page AI policy naming the supervising fee-earner for each work type is inexpensive, and it is precisely the evidence a regulator or a Hamid hearing would want to see.

Contract drafting in Word

Spellbook works inside Microsoft Word, where transactional lawyers already live: suggesting clauses, flagging missing provisions, redlining against your own precedents and benchmarking terms. Because it operates on the document in front of you rather than generating law, it sits in a much safer category than research.

For a small commercial or private client practice, it compresses first-draft time meaningfully without requiring anyone to change how they work. As always, the output is a draft by a very fast junior — it needs the same review you’d give any junior’s work.

Document review at volume

Luminance reads large document sets and surfaces what matters — anomalies, non-standard clauses, missing provisions, patterns across a corpus. It’s built for due diligence, contract review and disclosure exercises where the volume genuinely exceeds what a small team can read.

The honest positioning: this is a firm-level purchase justified by matter volume rather than a per-lawyer productivity tool. Robin AI, LawGeex and Ivo compete in adjacent parts of the same problem, and a small firm should be clear about which specific review task it’s buying for before taking a demo.

Long documents — with strict limits

Claude is strong on documents you supply: summarising a long witness statement or expert report you’ve uploaded, comparing versions of an agreement, structuring an advice note from your own research, or turning a complex point into plain English for a client letter.

Never use it, or any general model, to find authority. That is the exact failure mode in Ayinde. Working from documents you’ve provided is a different activity from asking a model what the law says — and confidentiality applies regardless: client material needs a business or enterprise agreement with proper data-processing terms, and privilege deserves more caution than a consumer subscription affords.

Practice management with AI

Clio is the practice management system many small firms already run — matters, time recording, billing, client communication and trust accounting — and Duo layers AI over it: summarising matters, surfacing what needs attention, drafting routine communications and helping capture time that would otherwise leak.

Unbilled time is the quiet profit killer in small practices, and AI that prompts you to record what you actually did is worth more than most feature lists suggest. LEAP and Actionstep are the main UK alternatives and worth comparing on conveyancing and legal aid workflows specifically.

Attendance notes — carefully

Otter.ai transcribes and summarises with action points, which maps neatly onto attendance notes, internal case conferences and supplier calls.

Treat client and privileged conversations differently from internal ones. Recording a client meeting engages consent, confidentiality, data residency and privilege considerations that a consumer transcription tool isn’t designed around — so check where data is processed, obtain and record consent, set a retention period, and consider whether a tool inside your practice management system is the better route for anything privileged.

Marketing & internal writing

ChatGPT handles what isn’t advice: website copy, plain-English guides explaining a process to prospective clients, recruitment adverts, internal procedures, referrer newsletters and first drafts of tender responses.

Two boundaries. Anything published that could be read as legal advice needs the same care as advice — check every legal statement, since a wrong proposition on your website is both a regulatory and a reputational problem. And keep client matters out of consumer tiers entirely.

Client-facing materials

Canva produces the collateral a small firm rarely gets round to: client care packs, process explainers for conveyancing or probate, fee transparency documents, referrer one-pagers and recruitment materials.

Fee transparency deserves a mention — the SRA’s transparency rules require certain information to be published clearly, and a well-designed page or leaflet does that job better than a wall of text. Have the content checked; use design to make it readable, not to obscure.