Agiloft vs Conga CLM: Which Contract Lifecycle Management Platform Fits Your Team Better in 2026?

Updated August 2026

These two platforms earn their reputations from opposite directions, and that shapes almost everything else in this comparison. Agiloft has spent nearly three decades building the most configurable no-code CLM on the market: give a business admin, not a developer, the tools to define their own contract data model, workflows, and approval chains. Gartner has named it a Magic Quadrant Leader for CLM six years running, and Forrester's Q1 2025 Wave gave it the highest possible score across 12 evaluation criteria. Conga CLM starts somewhere else entirely. It lives inside the Conga Revenue Lifecycle platform, the product line that resulted when quote-to-cash pioneer Apttus and document-automation company Conga combined in a $715 million 2020 merger and kept the Conga name. Its whole pitch is that a contract shouldn't live in a separate system from the Salesforce Opportunity that produced it.

If you're a general counsel, legal ops lead, RevOps leader, or procurement director evaluating either one, the real decision isn't "which tool has more features." It's configurability versus Salesforce nativeness, and which one your team's actual workflow rewards. Here's the honest breakdown, with real numbers where they exist and a plain "reported" label where they're buyer estimates rather than vendor-confirmed prices.

TL;DR

Who Each Platform Is Actually Built For

Agiloft and Conga CLM both sell into companies with a real legal, procurement, or revenue operations function, but the buyer looks different on each side.

Agiloft's natural buyer is a legal ops lead or general counsel who wants a platform they can genuinely mold to their own process, and who's willing to invest in the configuration to get there. Because the underlying data model is general purpose rather than legal-only, Agiloft shows up just as often running procurement, HR, or sales contract workflows inside the same instance, not just legal's.

Conga's natural buyer is a RevOps lead, Salesforce admin, or a legal team that already lives inside Salesforce for the deal record and doesn't want a second system of truth for contracts. It's frequently an extension of an existing Conga CPQ or Composer relationship rather than a first CLM purchase, which changes both the sales cycle and the implementation.

Neither direction is wrong. It's the difference between a platform built to be reshaped into almost anything, and a platform built to extend a Salesforce relationship your revenue team already runs on.

Key Facts

• Agiloft was named a Leader in the Forrester Wave: Contract Lifecycle Management Platforms, Q1 2025, earning the highest possible score in 12 criteria, including configurability and obligation management and contract governance specifically, per Agiloft's own summary of the report.
• Agiloft has held a Leader spot in the Gartner Magic Quadrant for Contract Life Cycle Management for six consecutive years as of 2025, Gartner reports via PR Newswire.
• Conga CLM was ranked #1 in both the Enterprise Usability Index and the Enterprise Relationship Index for CLM in G2's Winter 2026 Grid Report, Conga reports.
• Conga's CLM traces back to Apttus, the CPQ and CLM pioneer that combined with document-automation company Conga in a $715 million 2020 merger and kept the Conga name, PR Newswire reported at the time.
• A Forrester Total Economic Impact study commissioned by Conga found a composite customer realized 294% ROI and $19.3 million in benefit over three years, per Forsys's summary of the study.
• The global CLM software market is valued at $3.32 billion in 2026 and is projected to reach $8.84 billion by 2035, an 11.56% CAGR, according to Precedence Research.

Configurability and the Custom Data Model

This is Agiloft's whole reason for existing, and it's worth real time since it's the single biggest differentiator in this comparison.

Agiloft lets a business admin, not a developer, configure workflows, approvals, data models, and automations without writing code, per Agiloft's own product description. That's not shorthand for "some settings screens." Agiloft's data model is genuinely open: you can define custom object types, fields, and relationships that don't map to a template Agiloft shipped, which is why it turns up not just in legal departments but in procurement, HR, and sales contract workflows inside the same instance. Forrester's Q1 2025 Wave gave Agiloft the highest possible score in configurability specifically, alongside interoperability and continuous improvement, a clean sweep in that category.

The tradeoff is the one worth naming honestly: no-code doesn't mean no-effort. A genuinely custom data model and multi-department approval logic is real configuration work, and most enterprise-grade Agiloft deployments lean on Agiloft's own professional services or a certified partner to build it well.

Conga CLM's configuration model is more templated. Its drag-and-drop workflow editor is built to get a first CLM rollout live faster, especially when contract types are already fairly standard (NDAs, MSAs, order forms tied to a CPQ quote), but it doesn't offer the same ground-up, department-agnostic data modeling Agiloft does. Conga's configuration effort tends to concentrate on connecting and mapping data that already lives in Salesforce, CPQ, and Revenue Cloud, not on building an entirely custom object model from scratch.

Salesforce Nativeness and the Conga Revenue Lifecycle Platform

Flip the frame, and this is where Conga pulls ahead.

Conga CLM lives inside the Conga Revenue Lifecycle platform, and its native Salesforce integration means contract data inherits directly from Opportunity, Account, and CPQ quote records, per Conga's own product page. Conga describes the goal as letting teams manage the entire contract lifecycle "without leaving the tools you use every day," and for a sales-led or RevOps-led org, that's the whole value proposition: one system of record, not a CLM tool syncing against a CRM through an integration layer. Conga's own platform page also states the CLM works with "any CRM or ERP system," connecting to non-Salesforce environments through APIs, per Conga's platform documentation, though its deepest and most mature integration remains Salesforce.

Agiloft connects to Salesforce as one of more than 1,000 systems it integrates with through point-and-click connectors, per Agiloft's own solutions page. That's a real integration, not an afterthought, but it's fundamentally different from being built inside the Salesforce data model. Agiloft's contract record doesn't automatically inherit Opportunity or CPQ data the way a native Conga contract does; it syncs to it through configured field mappings.

Worth naming plainly: if your sales and legal teams already share a Salesforce instance, Conga's structural advantage here is real, not marketing language. A native data inheritance removes an integration layer that even Agiloft's 1,000-plus connectors can't fully collapse.

AI and Clause Intelligence

Both companies have leaned hard into AI over the past two years, and both now ship a named AI layer rather than a generic feature bullet.

Agiloft's AI centers on Astra, a contract intelligence layer covering both pre- and post-signature work, per Agiloft's product page. Astra shipped a free tier in 2026 open to any legal, procurement, finance, or sales professional with no waitlist, and Agiloft reports new users reach meaningful use in an average of five minutes, per the company's general availability announcement. Agiloft also offers Prompt Lab, which lets teams connect their own preferred large language model into Agiloft workflows rather than being locked to a single model vendor.

Conga's AI is built into the same Revenue Lifecycle data model as the rest of the platform: an AI-powered clause library, automated clause analysis that compares contract language to negotiation standards and flags high-risk provisions, and AI-driven dashboards tracking compliance and cycle time, per Conga's product page. Because it sits inside the same platform as CPQ and Revenue Cloud, Conga's AI has a structural edge for anything touching pricing or deal terms specifically, since it's reasoning over the same record the quote came from.

The practical difference: Agiloft's AI is model-flexible and reaches deepest into obligation and clause-position work across a wide range of contract types and departments. Conga's AI is narrower in scope but tightly coupled to the commercial data, pricing, quote terms, and Opportunity stage, that a sales-led team cares about most.

Obligation Management and Compliance Depth

Since obligation tracking is one of the criteria Forrester specifically scored, it earns its own section rather than folding into the AI discussion.

Agiloft shipped a dedicated, AI-driven Obligation Management module in December 2025 with a purpose-built data model for tracking tasks, deadlines, and dependencies extracted from contract language, per Agiloft's own announcement. It covers pre-built categories including Financial, Delivery, Service Levels, Termination, Confidentiality, Regulatory, Data, and Insurance obligations, plus custom categories, and connects each obligation to an owner with reminders and escalations. "Enterprises today manage thousands of contracts, and the cost of missed obligations is staggering," said Agiloft Chief Product Officer Andy Wishart in the announcement. Forrester's Q1 2025 Wave separately gave Agiloft the highest possible score in the obligation management and contract governance criterion, ahead of that December module's launch, which suggests the underlying capability was already strong before this release deepened it further.

Conga CLM builds obligation and renewal tracking into the same repository as the rest of the contract record, automatically tracking key dates and renewal windows to help prevent missed deadlines, per Conga's product page. It's a real capability, tied cleanly to the same Salesforce and Revenue Cloud data as everything else in the platform, but Conga doesn't market a standalone, purpose-built obligation data model the way Agiloft's December 2025 release does.

Implementation Time and Admin Burden

Neither platform is a same-week rollout, and both lean on partners or professional services once a deployment gets complex.

Agiloft implementations reportedly run 8 to 12 weeks for simple, standard deployments, stretching to 6 months or longer for enterprise builds with heavy customization and integrations, with implementation services fees reported between $5,000 and $75,000 depending on complexity, per Hyperstart's pricing analysis. Because the data model is genuinely custom, the biggest time sink is usually workflow and data-model design, not software configuration in the narrow sense.

Conga CLM implementations reportedly run 3 to 6 months for mid-market deployments, extending to 6 to 12-plus months for enterprise rollouts with complex integrations, with implementation costs reported between $50,000 and $165,000, per Bind Legal's 2026 pricing analysis. Each additional system integration (Salesforce, SAP, NetSuite, and similar) commonly adds weeks to the timeline on its own, and migrating legacy contracts is consistently the most underestimated part of the project.

Budget the admin headcount and the integration timeline into total cost of ownership on either platform, not just the license fee. Teams that skip that step are usually the ones posting frustrated reviews months later about a tool that "never got fully adopted," when the real gap was internal ownership, not the software.

Pricing and the True Cost of Ownership

Both vendors are quote-only for CLM. Neither Agiloft's own pricing page nor Conga's own pricing page publishes a price list, a tier name, or a per-seat rate; both route every visitor to a "Get Pricing" or "Schedule a Demo" flow. Here's what's known from third-party buyer-reported data, not vendor confirmation.

All figures above come from Hyperstart's Agiloft pricing analysis and Bind Legal's Conga CLM pricing analysis, not vendor-confirmed numbers.

The pattern that matters more than any single figure: Conga CLM's reported range climbs meaningfully higher once a deployment bundles in CPQ, Composer, Sign, or Revenue Cloud licensing alongside CLM itself, since Conga rarely sells CLM as a fully standalone line item to a Salesforce-committed team. Get an explicit CLM-only breakout before comparing a Conga quote to an Agiloft quote, and get the implementation fee in writing on either platform before signing. Neither company publishes that number anywhere you can screenshot.

When Agiloft Is the Right Call

• Your legal, procurement, or ops team wants to build a genuinely custom contract data model and workflow, not adapt to a vendor's template
• Contracts touch multiple departments (legal, procurement, HR, sales) that need to share the same underlying platform rather than separate tools
• Obligation tracking and post-signature governance are a real priority, not an afterthought, and you want a purpose-built module for it
• You want the flexibility to bring your own AI model into contract workflows rather than being locked into one vendor's AI stack
• Your CRM isn't Salesforce, or you'd rather your CLM's architecture not be tied to any single CRM

When Conga CLM Is the Right Call

• Your sales, RevOps, and legal teams already live inside Salesforce, and you want contracts inheriting Opportunity and CPQ data natively rather than through an integration
• You're already running Conga CPQ, Composer, or Revenue Cloud, and adding CLM keeps quote, contract, and renewal on one connected record
• Your contract types are relatively standardized around a sales motion (order forms, MSAs tied to a deal), and a templated, faster-to-configure workflow editor gets you live sooner than a from-scratch data model
• Simplifying vendor management (one platform, one data model, across quote-to-cash and contract lifecycle) outweighs having the deepest possible configuration ceiling
• Proven enterprise usability and support consistency matter more to your evaluation than maximum customization depth

If Neither Fits: Contracts Living on the Same Record as the Customer and the Deal

Worth naming honestly: Agiloft and Conga are both built for teams whose contract process is complex enough to deserve its own platform. Neither is trying to be your CRM. If the real frustration isn't "our data model isn't configurable enough" or "we want this native to Salesforce," but rather "our signed agreements sit in a system that has no idea who the customer is or which deal produced them," that is a different shape of problem, and it usually traces back to the CRM and the contract tool never having been the same system.

Rework's Contract module keeps agreements, renewals, and approvals on the same record as the customer, the deal, and the account, alongside Sales Ops, Work Ops, and the People app. A signed contract stops being a file you cross-reference against the CRM every time someone asks what was actually agreed. It is not a substitute for either platform here if your legal or procurement team's whole job is running high-volume contract workflows with formal obligation tracking, and that specialization is not something to give up for a bundled feature. But if contracts are one part of a broader sales and operations record you would rather keep unified, it is worth a look. Rework's Contract module is not publicly priced; it is quoted per organization, see rework.com/pricing for current details.

Decision Framework

The verdict: if your team has, or is willing to build, the maturity to own a genuinely custom contract data model, and configuration effort isn't the dealbreaker, Agiloft's ceiling is the higher one, and its Gartner and Forrester recognition backs that up across the board, including obligation management specifically. If your sales, revenue, and legal workflows already run through Salesforce and CPQ, Conga CLM's native data inheritance removes an integration layer Agiloft can't fully replicate, and that single-platform simplicity is worth real money to a RevOps-led team, even before the pricing conversation starts.

What to Do Next

1. Map your actual buying trigger first. If the pain is "our contract process doesn't match any vendor's template," that's an Agiloft-shaped problem. If it's "our contracts live apart from the Salesforce deal that created them," that's a Conga-shaped one.
2. Get an explicit CLM-only quote from Conga, separate from CPQ, Composer, Sign, or Revenue Cloud bundling, before comparing it to an Agiloft quote. The headline number is close to meaningless until you know what's actually included.
3. Confirm who owns configuration internally before signing either contract. Agiloft in particular assumes a dedicated admin or partner relationship past small deployments; skipping that headcount decision is the most common reason implementations stall.
4. Run a real workflow-building exercise during a trial or sandbox on both platforms using one of your actual contract types, not a vendor's clean demo data, since that's where the configurability gap shows up fastest.
5. If you're not sure CLM is the right category yet, start with how to choose document automation software, or see our Ironclad vs DocuSign CLM comparison for how two other CLM approaches stack up against each other.

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