clm

How to Write a CLM RFP (With a Checklist)

Adira EditorialLegal AI desk5 min read

What is a CLM RFP, and when do you need one? A CLM RFP is a request for proposal you send to contract lifecycle management vendors so they can bid to supply your software. It describes your contracting problem, lists the requirements you need met, and asks each vendor to explain how its product meets them and at what price. A good RFP turns a noisy market of demos and sales decks into a fair, side by side comparison. You need one when the purchase is large enough that you want several vendors to compete, when procurement or a board requires a documented process, or when your requirements are detailed enough that a quick trial will not surface the gaps. For a small team buying a simple tool, a structured trial may be enough. For a mid market or enterprise purchase, an RFP protects you from buying on charisma. This is general guidance, not legal or procurement advice for your specific situation. ## How to structure a CLM RFP Keep it to the sections a vendor can answer clearly: 1. About us. Who you are, your industry, contract volume and types, team size, and the systems you already run.

  1. The problem. What is broken today, in plain terms: contracts scattered across drives and inboxes, slow review, missed renewals, no reporting.
  2. Scope and goals. What success looks like in a year, and which use cases are in scope (drafting, review, repository, obligations, reporting).
  3. Functional requirements. The checklist below, with each item marked must have, should have or nice to have.
  4. Non functional requirements. Security, data residency, uptime, support, implementation.
  5. Commercial. Pricing model, total cost over three years, implementation and training cost.
  6. Vendor information. Company stability, references, roadmap.
  7. Response format and timeline. How to respond, the deadline, and your evaluation stages. ## The CLM requirements checklist Mark each item must, should or nice to have before you send it, so scoring is objective. Repository and search
  • Central repository for all executed contracts
  • Full text and metadata search
  • Bulk import and automated metadata extraction from legacy contracts
  • Version history and audit trail Drafting and templates
  • Template library with approved, locked language
  • Clause library with preferred and fallback positions
  • Self serve generation for business users from a questionnaire
  • AI assisted drafting from a brief Review and risk
  • AI review that flags risky or missing clauses
  • Playbook based review against your standard positions
  • Redline and comparison against prior versions Workflow and collaboration
  • Configurable approval workflows by value or risk
  • Intake form and request routing
  • Collaboration with comments and tasks
  • Integration with email and document editors Signature and post signature
  • E signature, native or integrated
  • Obligation and milestone tracking
  • Renewal and expiry alerts
  • Reporting and dashboards Integration
  • Connectors to your CRM, ERP, storage and identity provider
  • Open API Non functional
  • Encryption in transit and at rest, role based access
  • SSO and SAML, audit logs
  • Data residency and retention controls
  • Uptime commitment and support SLA
  • Implementation timeline and training
  • Whether the vendor trains AI models on your contract data ## How to evaluate the responses Score against your weighted checklist, not against the demo. A simple method: - Give each requirement a weight (must have requirements can be pass or fail).
  • Score each vendor 0 to 5 per requirement.
  • Weight security and total cost of ownership heavily, because they are hard to change later.
  • Shortlist two or three, then run a scripted trial on your own real contracts, not the vendor's sample data.
  • Check references from companies your size and in your sector. ## Vendors worth inviting The CLM market is broad, and the right shortlist depends on your size and needs. Named neutrally, enterprise focused platforms include Icertis, SirionLabs, Ironclad and Evisort (now part of Workday). Mid market and legal team focused tools include Juro, LinkSquares, ContractPodAi, SpotDraft, Agiloft, Concord and Lexion. DocuSign CLM extends the DocuSign signature ecosystem into lifecycle management. Each has real strengths, so match them to your requirements rather than to brand recognition. Adira is one option to consider, an AI legal workspace built on frontier AI that covers drafting, document intelligence with per clause risk, clause level editing in plain language, version history and compliance tracking in one place, with public pricing (Practice at 89 US dollars per seat per month billed annually and Firm at 179 US dollars per seat per month billed annually, minimums apply, plus a custom Enterprise tier and a 7 day trial, last verified October 2026). Adira does not train on your contract corpus. It is India first and architected for other jurisdictions, with UK, Ireland, Singapore and Australia support on the roadmap, so verify depth for your region. Put it through the same checklist as everyone else. ## Common mistakes to avoid - Writing a wish list of hundreds of requirements with no priorities, so every vendor looks equal.
  • Evaluating on the demo instead of a trial on your own contracts.
  • Underweighting security, data residency and total cost of ownership.
  • Forgetting to ask whether the vendor trains its models on your data.
  • No reference checks with companies your size. ## Where the real decision gets made An RFP gets you a fair comparison, but the product you choose has to match how your company actually contracts. The point of contract lifecycle management is to pull drafting, review, version history, obligations and renewals into one workspace, tuned to your templates and your risk posture, instead of a drive full of files and a spreadsheet of dates. Keep that outcome in front of you as you score, and the RFP becomes a tool for buying the right fit rather than the loudest pitch.

Frequently asked questions

What should a CLM RFP include?
A CLM RFP should include a short description of your company and contract volume, the problem you are solving, the scope and goals, a prioritised functional requirements checklist (repository, drafting, review, workflow, signature, obligations and reporting), non functional requirements (security, data residency, support), the commercial model, vendor stability and references, and the response format and timeline. Marking each requirement must, should or nice to have is what makes the responses comparable.
How many vendors should I invite to a CLM RFP?
A workable range is four to six vendors, chosen to match your size and needs rather than brand recognition. Invite a mix that fits your tier, shortlist two or three on the written responses, then run a scripted trial on your own real contracts before deciding. Inviting too many wastes everyone's time, and inviting only one removes the competition that an RFP is meant to create.
Should I ask whether the vendor trains AI on my contract data?
Yes. With AI features now standard in CLM, whether the vendor uses your contract corpus to train its models is a core security and confidentiality question. Ask it directly, ask for it in writing, and weight it heavily. Vendors differ: some, including Adira, state that they do not train on your contract corpus, so confirm each vendor's position rather than assuming.
Was this useful?

See how Adira drafts in your voice and reads contracts from your side.

Explore the showroom

Working through a contract like this? Weave is Adira’s free tool to read, mark up, and connect any contract in your browser — no account needed.

Try Weave — free