01Tenancy
Multi-tenant by default
Row-level RBAC enforced at the query layer. One Databrain instance powers thousands of tenants, so every client, business unit, or legal ops team sees only their own data.
Legal analytics
Legal analytics software for SaaS platforms.
Give legal teams interactive dashboards for contract timelines, counsel spend, and workloads. Keep every insight inside your contract management or legal ops platform.
- SOC 2 Type 2
- ISO 27001
- GDPR
- Metadata-only storage
- Cloud or on-prem
- 2 to 4 weeks
- To your first live dashboard
- $300K+
- Avg engineering costs saved
- Full white-label
- Native to your product
- 6 months
- Of build time saved on average
Building legal analytics in-house? Here's the real cost.
Most legal ops and CLM product teams underestimate what shipping embedded analytics actually takes. Here's how the three common paths compare.
| Build in-house | Traditional BI |   | |
|---|---|---|---|
| Time to first dashboard | 6 to 12 months | 2 to 3 months | 2 to 4 weeks |
| Engineering cost (Y1) | $150K to $340K | $80K to $150K + capacity | $999/mo ($12K/yr) |
| Headcount needed | ~1.5 engineers (data, FE, security) | BI specialist + capacity mgmt | Your existing PM |
| Multi-tenant security | Custom-built, ongoing maintenance | Capacity-priced, expensive at scale | Row-level RBAC, built in |
| White-label control | Full, but you build it | Limited, watermarks at lower tiers | Full, your brand only |
| Metric definition | None. Build from scratch. | None. Build from scratch. | Visual Builder, Custom SQL & AI Chat Mode |
| Warehouse-native | Yes, you build the integration | Pulls into BI layer (duplicate data) | Reads your warehouse via SQL, no copy |
Why teams choose Databrain for embedded legal analytics
Five capabilities, built into every CLM, contract management, and legal ops surface.
02Brand
White-label with your brand
Custom theming, your domain, your logo, fonts, and colors, down to the chart palette. End users never see Databrain.
03Analytics
Legal analytics, defined by you
Define contract cycle time, renewal rate, spend under management, or any custom KPI against your own schema. Real-time, not nightly.
04AI
AI-ready legal queries
Legal ops teams type a question and get a dashboard. Grounded in your data, not a generic model.
Question
Show me contracts renewing in the next 30 days by business unit
Generated SQL
SELECT business_unit, COUNT(*) AS renewing_contractsFROM contracts WHERE renewal_date BETWEENCURRENT_DATE AND CURRENT_DATE + 30 GROUP BY 105Security
Enterprise controls ship with the product
Tenant isolation, row-level access, SSO, audit trails, and compliance controls are enforced before every legal query runs.
- Row-level security
- Column-level controls
- SAML & OIDC SSO
- SOC 2 Type 2
- ISO 27001
- No data stored
Legal analytics use cases with Databrain
Example ways legal ops and CLM platforms put Databrain to work. Every metric here is one your team defines against your own schema, not a pre-built template.
Example metrics:
- Contract Cycle Time
- Renewal Rate
- Spend Under Mgmt
- Contract Volume
- Obligation Compliance
- Outside Counsel Spend
- Deal Approval Time
- Matter Status
Contract cycle time and renewal tracking
Example: cycle time by contract type and a renewal pipeline, defined against your own contract data. Not a pre-built template, your team builds this against your schema.
Built for
- Legal Ops
- CLM product teams
Customer-facing matter reporting
Example: matter status and spend under management, with per-client data isolation. This is the pattern SpotDraft built with Databrain for its own customers.
Built for
- Legal SaaS
- Client-facing portals
Outside counsel spend analytics
Example: budget versus actual by firm and matter, built against your own spend data, so General Counsel sees variance without waiting on finance.
Built for
- Legal Ops
- General Counsel
Obligation and compliance tracking
Example: expiring contracts and obligation risk flagged ahead of deadlines, built against your contract data model, not a generic compliance module.
Built for
- Compliance
- Contracts teams
Deal and approval bottleneck analytics
Example: approval cycle time by deal stage, built against your own approval workflow data, so sales ops and legal can see where deals stall.
Built for
- Sales Ops
- Legal/Revenue teams
Teams shipping analytics with Databrain
- 4 weeks
- to deploy
- $300K
- saved
- 9 months
- returned
Customer story
SpotDraft built customer-facing contract reporting with Databrain
“We now offer our customers extensive insights out of the box, sparing them the pain of creating their own metrics, all while ensuring they have a seamless experience.”
Jaskaran BProduct Manager, SpotDraft
Legal Analytics
Built for what legal ops teams actually ask for.
CLM, contract management, and legal ops platforms each expect something different from embedded analytics. Here's what that looks like for each.
Contract cycle time, by type
Legal ops teams want cycle time and renewal rate visible by contract type inside the CLM they already log into, not tracked in a spreadsheet.
Built for Legal Ops & CLM product teams
Client reporting, without the build
Legal SaaS platforms want customer-facing reporting on matter status and spend, without building it from scratch or waiting on engineering.
Built for Legal SaaS & client-facing portals
Outside counsel spend, visible now
General counsel teams want budget-versus-actual by firm and matter visible immediately, not after waiting on finance to pull a report.
Built for Legal Ops & General Counsel teams
Obligations tracked before they're missed
Compliance and contracts teams want expiring contracts and obligation risk flagged ahead of the deadline, not discovered after it.
Built for Compliance & Contracts teams
Approval bottlenecks, surfaced fast
Sales ops and legal teams want approval cycle time by deal stage surfaced in real time, so bottlenecks get fixed before they stall a deal.
Built for Sales Ops & Legal/Revenue teams
Frequently asked questions about legal and CLM analytics
What is legal analytics software?
Legal analytics software has two meanings. Litigation analytics tools mine court records for patterns in judges, firms and case outcomes, while for CLM, contract management and legal ops platforms it means reporting on contract cycle time, renewals, obligations, matter status and outside counsel spend. Databrain serves the second kind, letting legal tech SaaS vendors such as SpotDraft embed white-labeled, multi-tenant dashboards of that data inside their own product.
What should a CLM analytics dashboard show customers?
A CLM analytics dashboard usually shows contract volume and cycle time from request to signature by contract type, approval bottlenecks by stage, renewals and expirations due in the next 30 to 90 days, obligation deadlines, and spend under management or outside counsel spend by firm. In Databrain these are metrics your team defines against your own contract schema and then embeds per customer, so every client sees the same definitions applied to its own contracts.
How can a CLM platform share contract metrics without exposing contract contents?
Databrain lets a CLM platform share metrics without exposing documents by querying only the fields you choose to model. Your team builds a datamart with the columns dashboards need, such as dates, status, value and counterparty, and hides the rest. Each embed is scoped to one customer by a server-issued guest token, and per embed you choose whether users only view dashboards or can also create metrics. End-user report creation is part of the Enterprise plan.
Is Databrain secure enough for legal and contract data?
Databrain is SOC 2 Type 2 and GDPR compliant, has completed VAPT testing, and has ISO 27001 certification in progress, with live status on trust.usedatabrain.com. Dashboards query your database through a read-only connection, every embed is scoped to one tenant by a server-issued token, and SSO is available on Pro (OAuth) and Enterprise (SAML). Legal tech teams that must keep everything in their own environment can self-host Databrain on the Enterprise plan.
How did SpotDraft add customer-facing analytics to its CLM platform?
SpotDraft, an AI-driven contract management platform, replaced Looker with Databrain to put customer-facing reporting inside its own product instead of an external link, and went live in four weeks. Its published case study puts the savings at $300K and 9 months of engineering effort. SpotDraft's product manager says customers now get "extensive insights out of the box" without having to create their own metrics.
Can legal ops users ask contract questions in plain English?
Yes, Databrain lets legal ops users ask questions in plain English when you enable Chat Mode in the embed. A user asks something like "contracts renewing in the next 30 days by business unit", and Databrain writes SQL against your structured contract data, runs it with the same tenant filter as dashboards on table- and database-based tenancy, and returns a chart. It queries database fields, not contract text, so it complements AI contract review rather than replacing it.
Make embedded analytics your competitive advantage.
See how Databrain can take your customer-facing analytics to the next level.