7 Best Contract Analytics Tools in 2026
Quick answer: Every tool here will show you a dashboard. The question that decides which one works is where the numbers come from. Extraction tools read the document text, so they cover agreements signed long before you bought anything: Evisort and Luminance are the strongest, and Luminance is the only vendor here that publishes a price, at roughly $41,340 a year. Platform analytics report on metadata captured when a contract was created, which is accurate for new agreements and blank for everything else. Most businesses want the first and buy the second, then find their reporting starts on the day they went live.
Comparison
| Tool | Score | Best for | Price | Key strength |
|---|---|---|---|---|
| Evisort | 9.4 | analysing what you signed before today | Reported ~$30,000 to $150,000/yr | Extraction from the document text |
| Luminance | 8.8 | extraction with a price you can read | List ~$41,340/yr for 1,000 documents | The only published figure here |
| LinkSquares | 7.9 | reporting as the whole requirement | No published price | Built for post-signature questions |
| Icertis | 7.3 | findings that become assigned work | No published price | Owners and statuses, not just reports |
| Ironclad | 6.7 | analytics inside a platform you run | Reported ~$30,000 to $250,000/yr | Reporting attached to workflow |
| Agiloft | 6.0 | sector-specific reporting fields | No published price | Model exactly the fields you report on |
| Juro | 5.3 | mid-sized teams wanting less | Reported ~$15,000 to $130,000/yr | Reporting without a platform project |
Fit by buyer
Scored 1 to 5 for each buyer, where 5 means the tool was built for them and 1 means it is the wrong tool. Scope is different: it is how much of the job the tool does, from a single step to a whole lifecycle, and a low score there means narrow rather than bad. These ratings are the same for a tool wherever it appears; the score shown beside each entry is for this guide specifically. A tool can lead one column and come last in another, and the right answer still changes with who is asking. How we score.
| Tool | Lawyer in Word | In-house legal | Commercial team | Enterprise | Scope | Price |
|---|---|---|---|---|---|---|
| Evisort | 1 | 4 | 2 | 4 | 4 | Reported |
| Luminance | 3 | 4 | 1 | 4 | 4 | Published |
| LinkSquares | 1 | 4 | 2 | 4 | 4 | None |
| Icertis | 1 | 3 | 1 | 5 | 5 | None |
| Ironclad | 2 | 4 | 2 | 5 | 5 | Reported |
| Agiloft | 1 | 3 | 1 | 4 | 5 | None |
| Juro | 2 | 4 | 4 | 4 | 4 | Reported |
Which one, for your situation
| If this is your situation | Start with |
|---|---|
| You need to analyse agreements signed before you bought anything | Evisort |
| You want extraction from a vendor that publishes a price | Luminance |
| Reporting on executed agreements is the entire requirement | LinkSquares |
| Findings need owners, statuses and compliance tracking | Icertis |
| You want analytics inside a platform you already run | Ironclad |
| The fields you need reported are specific to your sector | Agiloft |
| You are mid-sized and this is heavier than needed | Juro |
The 7 best contract analytics tools
1. Evisort: Best for analysing what you signed before today
9.4 out of 10 how this is calculated
The verdict: The strongest on the thing that makes analytics useful, which is coverage of agreements nobody entered into a system. It reads the text, so a twenty-year estate is as analysable as last month's.
Pricing: No public list price. Reported annual contracts run approximately $30,000 to $150,000. Now part of Workday following acquisition, so renewals may route differently than they did.
Standout features:
- Extraction across large and unstructured document sets
- Obligation and renewal identification without manual entry
- Reporting on terms across the whole estate
- Workflow and approvals alongside extraction
Limitations: Extraction degrades on older scanned documents and the cleanup falls to your team, which is real work rather than a footnote. The Workday acquisition leaves pricing and roadmap less settled on a multi-year commitment.
2. Luminance: Best for extraction with a price you can read
8.8 out of 10 how this is calculated
The verdict: Comparable extraction to Evisort with one decisive difference: you can find out what it costs. Anomaly detection against learned standards is also a more useful default than a fixed report set.
Pricing: Published list price of approximately $41,340 a year for 1,000 documents with unlimited users. Enterprise deployments are reported from around $25,000 a year depending on volume and modules.
Standout features:
- Analysis across the whole contract estate
- Anomaly detection against standards learned from your own agreements
- Unlimited users on the published tier
- Coverage across many languages and jurisdictions
Limitations: Priced by document volume, so an estate of many short agreements costs the same as one of a few long ones. Alerting and ownership around a finding are thinner, so it tells you things without routing them to anyone.
3. LinkSquares: Best for reporting as the whole requirement
7.9 out of 10 how this is calculated
The verdict: Purpose-built for the question this page is about rather than having analytics added to something else. Suits a legal team repeatedly asked what the business has committed to across everything signed.
Pricing: No published price and no reliable reported figure we could source. Sales-led and quoted on contract volume.
Standout features:
- Analytics across executed agreements
- Clause and term extraction with alerting
- Renewal and obligation notifications
- Drafting and workflow added later in its life
Limitations: Publishes nothing and no reliable reported figure could be sourced, which is a poor position for a category where you are buying visibility. Language coverage is narrower than Luminance, and there is very little before signature.
4. Icertis: Best for findings that become assigned work
7.3 out of 10 how this is calculated
The verdict: Answers the complaint most analytics buyers have a year in, which is that the reports were accurate and nothing happened. Obligations here carry an owner and a status rather than appearing on a dashboard.
Pricing: No published price and no reliable reported figure we could source. Enterprise sales-led, quoted on contract volume and module count. Widely understood to sit at the top of the market alongside Ironclad.
Standout features:
- Obligation extraction with owner assignment and status
- Compliance tracking against regulatory and internal policy
- Deep ERP integration for spend and supplier data
- Multi-entity and multi-jurisdiction support
Limitations: Publishes nothing and no reliable figure could be sourced, and it is an enterprise deployment measured in months. Considerably more platform than a business wanting analytics alone should be buying.
5. Ironclad: Best for analytics inside a platform you run
6.7 out of 10 how this is calculated
The verdict: Sensible if you already run it, because reporting on contracts created inside the platform is accurate and immediate. It is the wrong purchase if analytics is the reason you are buying.
Pricing: No public list price. Reported annual contracts run approximately $30,000 to $250,000, with a marketplace median near $40,000 across 363 recorded purchases.
Standout features:
- Reporting across agreements created in the platform
- Obligation and renewal tracking from creation
- Conditional approval routing feeding the data
- Deep Salesforce and procurement integration
Limitations: Its analytics rest largely on metadata captured when a contract was created, so anything signed before you went live is much less visible. That is the exact opposite of what most analytics buyers need, and it is not obvious from a demo built inside the product.
6. Agiloft: Best for sector-specific reporting fields
6.0 out of 10 how this is calculated
The verdict: Where teams go when the fields they need are specific to their industry and no product ships them. You define the data model, and you pay separately to have it defined.
Pricing: No published price and no reliable reported figure we could source. Quoted on users and modules, with configuration typically a separate cost.
Standout features:
- No-code configuration of the contract data model
- Conditional logic beyond fixed products
- Extensive permissions and audit trail
- Long track record in complex deployments
Limitations: Out-of-the-box extraction is weaker than the dedicated analytics tools, so you are configuring fields that then have to be populated. Configuration is charged separately and usually exceeds the licence in year one.
7. Juro: Best for mid-sized teams wanting less
5.3 out of 10 how this is calculated
The verdict: Enough reporting for a business whose questions are about renewal dates and what is in the repository, reached in weeks rather than months and without a dedicated owner.
Pricing: Sales-led with no public list price. Reported annual contracts run approximately $15,000 to $130,000, with marketplace medians around $31,000 to $34,500, priced on contract volume rather than per seat.
Standout features:
- Searchable repository with reporting
- Renewal dates and status across agreements
- Guided creation feeding structured data
- Non-legal staff can operate it unaided
Limitations: Like Ironclad, its reporting rests on what was captured at creation, so a legacy estate is largely invisible. Analytics depth is well below the dedicated tools and it is not really competing on this page.
How we chose
- Where the data comes from: extracted from the document, or entered at creation.
- Coverage of agreements signed before the tool was bought, which is most of them.
- Whether findings carry an owner and a date or arrive as a report.
- Quality on scanned and badly formatted documents, since that is what an estate contains.
- Published price, which almost nobody offers here.
- We did not score on dashboard design or the number of prebuilt reports. Every vendor demos well on a curated set; how it reads your worst documents is what decides it.
Frequently asked questions
What is the best contract analytics tool in 2026?
Evisort for analysing agreements signed before you bought anything, which is most businesses. Luminance for comparable extraction from the only vendor here that publishes a price, roughly $41,340 a year. LinkSquares if reporting on executed agreements is the entire requirement.
Why does it matter where the data comes from?
It decides what you can actually report on. Extraction tools read the document text, so a twenty-year estate is analysable. Platform analytics report on metadata entered when a contract was created, so your reporting effectively begins the day you went live. Most buyers want the first and shortlist the second.
How much does contract analytics cost?
Luminance publishes roughly $41,340 a year for 1,000 documents with unlimited users. Evisort and Ironclad are reported from around $30,000 a year and Juro from $15,000. LinkSquares, Icertis and Agiloft publish nothing and no reliable figures could be sourced for any of them.
What should we ask in a demo?
Ask to see it read your oldest, worst-scanned agreement rather than a sample from the vendor. Then ask specifically what it can tell you about contracts created outside the tool. Those two questions separate extraction from platform reporting faster than any feature list.
Why did our last analytics purchase change nothing?
Usually because the reports were accurate and had no owner. A dashboard showing thirty auto-renewals next quarter does nothing unless somebody is assigned each one with a date. Icertis and Ironclad route findings to people; the pure analytics tools mostly inform.
Do we need analytics or obligation tracking?
Analytics answers what is in our contracts. Obligation tracking answers who has to do what and by when. Teams often buy the first and needed the second, and the giveaway is whether your question starts with what or with who.
Can a mid-sized business justify any of this?
Below a few thousand agreements, rarely. The genuine questions at that size, when does this renew and where is the signed copy, are answered by a repository with dates for a fraction of the cost. Analytics earns its price when the estate is too large to read and too varied to summarise.