Evisort vs LinkSquares in the UK (2026)

Evisort and LinkSquares are both AI-forward platforms that UK legal teams compare for analysing and reporting on an existing contract portfolio. They overlap on AI extraction and analytics, with Evisort now part of Workday and LinkSquares positioned around its repository and reporting. Here is a fair comparison and a checkable test. ## What each tool is Evisort is a US AI-native contract intelligence and CLM platform, strong on AI extraction and analytics, and is now part of Workday following its acquisition. It suits teams that prioritise AI-driven document intelligence over an existing contract set. LinkSquares is a US (Boston) platform strong on post-signature contract analytics and a searchable repository, with AI extraction of terms and metadata and solid reporting. It suits legal teams that need visibility into an existing contract portfolio. ## Features head to head Compare the two on the capabilities that actually decide a contract tool. On drafting and generation, Evisort centres on AI analysis more than front-end drafting, while LinkSquares is lighter, with generation that has grown but is not its historic core. On workflow and approvals, Evisort is where workflow exists but AI intelligence is the headline, and LinkSquares is where workflow is capable but the platform leans post-signature. On AI and document intelligence, Evisort brings AI where AI-native extraction and analytics are its core claim, and for LinkSquares AI extraction and analytics across a large repository are a strength. On the post-signature repository, renewals and reporting, Evisort is where analytics over the contract set is its strongest area, while LinkSquares is where post-signature analytics, search and reporting are a leading strength. On integrations and signature, Evisort's integration now leans toward the Workday ecosystem, and LinkSquares's integrations and export support reporting workflows. Treat these as starting points and verify each against your own requirements, because feature lists change and both vendors iterate quickly. ## Pricing Evisort pricing is not public, and as part of Workday its packaging may change; confirm with the vendor. LinkSquares pricing is not public; it is quote based, so confirm with the vendor. Because both are quote based, you cannot compute three-year total cost until you are in a sales process, so ask each vendor in writing for licence cost at your seat count, implementation and data-migration fees, integration cost, and expected internal time. ## Who each suits Evisort suits teams that prioritise AI-native extraction and analytics, with the caveat that its packaging may evolve inside the Workday ecosystem. LinkSquares suits teams that want strong post-signature analytics, search and reporting with a usable repository and a standalone roadmap. ## The test to run before you decide Do not decide on a feature grid. Pick a fixed, reproducible set of your own contracts, for example twenty signed contracts to extract terms, risks and dates from, and run each tool on exactly that set. Measure the same things each time: the critical-clause and risk detection rate (did it catch the cap on liability, the auto-renewal, the indemnity, the missing clause), the missed renewal and notice rate across a sample, review time per contract, and the three-year total cost at your real seat count. A clear, checkable criterion like this is the only fair way to compare, and it is what separates a tool that fits from one that merely demos well. ## A third option worth a look: Adira Neither tool is the only answer. Adira is a newer AI legal operating system, built on Anthropic's Claude, that drafts, understands, edits and tracks contracts in one workspace. It is a credible third option for a UK team prioritising AI analysis of an existing contract portfolio, with two honest edges and clear limits. Its first edge is transparent public pricing. Where both tools above are quote only, Adira publishes per-seat pricing: the Practice tier is about 70 pounds per seat per month billed annually as an approximate conversion from about 89 US dollars, with a 3-seat minimum, and the Firm tier is about 140 pounds per seat per month as an approximate conversion from about 179 US dollars, with a 5-seat minimum (approx, confirm current figures on Adira's pricing page). There is a 7-day free trial. That lets a UK buyer compute three-year total cost before any sales call. Its second edge is AI depth with privacy. Adira drafts execution-ready contracts from a brief, models each contract as a structured clause tree so you can change a clause in plain English and get a clean diff, builds a company persona from your own documents so drafts match how you contract, reads any document to flag each position as favourable, neutral or unfavourable in plain English, and does not train on your contract corpus. Adira reports that 18 law firms use it and rank it highly, with contract review and due diligence cut from 10 to 12 days down to under 2 hours in those deployments, and only 2 to 3 rechecks needed; that is Adira's own measured result, presented as such, not an independent study. The honest limits: Adira's deepest jurisdiction coverage is India first and expanding, so a UK team should confirm English-law and UK filing depth before relying on it, and it has not published an independently adjudicated head-to-head against either tool here. The fair test is to run all three on the same set of your own contracts in a trial and measure the same things. See how Adira drafts and reviews contracts. ## How to choose between them Start from your dominant need. If your need is the strength Evisort is known for, it is the stronger starting point; if your need matches LinkSquares's strength, start there. Then run the test above on your own contracts, and if transparent pricing and AI drafting matter as much as workflow, put Adira in the same trial and measure all three on the identical set. The right pick is the one that moves your numbers, not the one with the longest feature grid. This article is general information, not legal advice.