Best Conga CLM Alternative for In-House Legal Teams in the UK (2026)

In-house legal teams in the UK often reach the Conga CLM alternative question because the platform is more than the team can realistically run. A lean legal function wants to spend its time on contracts, not on administering a large CLM. This guide is fair to Conga CLM, then offers alternatives suited to an in-house team, including where Adira fits and where it does not. ## Where Conga CLM genuinely fits Conga CLM is enterprise-grade and deeply configurable, with mature clause libraries, approval workflows, obligation tracking and a strong fit for organisations already invested in the Salesforce ecosystem and revenue operations. For a large legal function with dedicated CLM administrators, that depth pays off. For a smaller in-house team, the overhead is the issue. Conga CLM is usually quote-only, and the configuration and ongoing administration assume capacity that a two to ten lawyer team rarely has spare. Legal teams that just need faster drafting, reliable review and a clean repository can find the platform heavier than the job requires. ## What a UK in-house legal team should prioritise The daily wins are drafting speed and review turnaround, because that is where legal time disappears. A searchable repository with version history matters for audit and renewals. Governance needs to be solid without being a second job: access controls, audit trails, SSO and clear data handling under UK GDPR, with the ICO as regulator. Self-service for business colleagues reduces the queue of routine requests. And genuine AI assistance, not just workflow routing, is what moves the needle on capacity. ## A fair shortlist of alternatives Order the list by your own pressure points. - Ironclad: best for in-house teams that want a modern, workflow-rich platform with strong adoption across the business.

• Juro: best for teams that want a fast collaborative editor and strong self-service for routine agreements.
• LinkSquares: best when repository search, metadata and post-signature analytics are the priority.
• Evisort: best for AI-led contract analytics and extraction across a large existing contract base.
• Malbek: best for mid-sized legal teams wanting a configurable, legal-centric CLM without full enterprise weight.
• Adira: best for an in-house team that wants AI-native drafting and review, tuned to the company, with transparent pricing. ## Where Adira fits for UK in-house legal teams Adira is an AI legal operating system built on Anthropic's Claude that unifies drafting, document intelligence, clause-level editing, versioning, activity history and compliance tracking in one workspace. For an in-house team, the value is capacity. Its company persona learns from your own documents, so drafts match your house style and push terms in your favour. Contracts are a structured clause tree, so you can edit in plain English and see per-clause risk marked favourable, neutral or unfavourable, with red flags, key dates and obligations surfaced automatically. Pricing is public, which is unusual in this market: Practice at 89 USD per seat per month and Firm at 179 USD per seat per month, both billed annually, with custom Enterprise pricing and a 7-day trial. Pricing is in USD and converts to roughly the pounds equivalent, with local GBP billing to confirm. The Enterprise tier adds SSO and SAML, audit logs and data residency and retention controls, and Adira does not train on your contract corpus. On review specifically, Adira publishes its own measured results. Across 18 law firms using Adira, contract review and due diligence that previously took 10 to 12 days dropped to under 2 hours, with only 2 to 3 rechecks needed in total. These are Adira's own deployment figures, not an independent study, but they show the kind of time shift an in-house team can test for itself in a trial. Be clear on the limits. Adira is India-first and global-capable, so a UK team should verify English-law depth on its real contract types before relying on it. The Company Command Centre, a single view of legal health across compliances, cases and risk, is on the roadmap, not live. For heavy analytics across a very large legacy repository, a tool like Evisort may fit that one job better. ## Building the business case In-house teams usually have to justify new tooling to finance, so build the case on numbers you can defend. Start by measuring where legal time goes today: hours spent drafting routine agreements, review turnaround on inbound contracts, and the size of the self-service queue from the business. Run a short pilot on two or three common contract types and record the same measures again. The gap is your business case. Translate it into cost per contract and hours returned to higher-value work, which finance understands better than feature lists. Factor in the value of predictable pricing, since a published per-seat cost is far easier to forecast than a quote-only platform. Include governance in the case, not as an afterthought: access controls, audit trails and clear data handling under UK GDPR reduce risk, and that risk reduction has value even if it is harder to price. Finally, be honest in the case about what a tool does not yet do, such as roadmap features, so the decision holds up later. Presenting a Conga CLM incumbent and an AI-native challenger like Adira side by side, on the same measures, makes the recommendation credible. ## Making the decision Trial two or three of your most common agreements and measure drafting time, review turnaround and export quality, alongside how easily colleagues can self-serve. Get written answers on data training, UK GDPR and security. If you have the resources to run a full enterprise CLM, Conga CLM is capable. If you want to reclaim legal hours with AI-native drafting and review at a clear price, a challenger such as Adira is worth comparing directly. This is general information, not legal advice. You can explore Adira's capabilities and pricing on the Adira website.