Legal, Contract, and Compliance AI
90TriVista score
Harvey
An AI tool built only for legal work that researches case law, reviews contracts, and analyzes large document sets for law firms and in-house teams.
Ontra AI
AI tool profile ·
A legal and compliance tool for private equity firms that reviews routine deal documents at high volume, used by 9 of the top 10 PEI-ranked firms.
74TriVista score
Category rank#7 in Legal, Contract, and Compliance AI
Baseline ELO1,494.6
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At a glance
What it does
Ontra AI is a legal and compliance tool built for private equity and other private market firms. Legal and deal teams use it to review and negotiate routine agreements, like NDAs, at high volume. Its AI summarizes contract terms, searches across deals for answers, and compares clauses side by side. Ontra also offers entity setup, due diligence forms, and fund obligation tracking in the same tool. The company reports more than 1,000 private market firms as customers, including 9 of the top 10 PEI-ranked firms, and holds ISO 27001 and SOC 2 certifications while stating it meets GDPR and CCPA rules.
Where it can help
This fits a private equity firm or other private market fund with a high volume of routine legal agreements; legal ops and general counsel teams at fund managers are the typical buyers, more than a traditional corporate legal department. Ontra does not publish pricing, since it sells through direct enterprise contracts often bundled with managed legal services, so ask for a quote scoped to your agreement volume and whether you want software alone or managed review included. A good starting point is piloting the AI search and summary features on one agreement type, like NDAs, adding managed services later if needed. The main thing to check is fit, since Ontra is built around fund and deal work and a company outside private markets may not need its specific feature set.
Company fitHow your company could affect the fit
How one company factor at a time moves the modeled score. The published score is unchanged.
Company fit
How your company could affect the fit
How one company factor at a time moves the modeled score. The published score is unchanged.
Industry Technology and telecommunications Modeled score73.6 / 100 Modeled category rank#10
Baseline Consumer products
Adjusted ELO 1,491.9
Change from baseline -4.5 ELO
Technology Maturity High Modeled score73.9 / 100 Modeled category rank#5
Baseline Moderate
Adjusted ELO 1,493.5
Change from baseline -2.9 ELO
Industry Construction and real estate Modeled score73.9 / 100 Modeled category rank#7
Baseline Consumer products
Adjusted ELO 1,493.6
Change from baseline -2.7 ELO
Technology Maturity Low Modeled score74.7 / 100 Modeled category rank#6
Baseline Moderate
Adjusted ELO 1,497.9
Change from baseline +1.6 ELO
Company Type Business services Modeled score74.2 / 100 Modeled category rank#6
Baseline Manufacturing
Adjusted ELO 1,494.9
Change from baseline -1.4 ELO
Industry Industrial manufacturing Modeled score74.6 / 100 Modeled category rank#5
Baseline Consumer products
Adjusted ELO 1,497.7
Change from baseline +1.4 ELO
Industry Energy and utilities Modeled score74.2 / 100 Modeled category rank#4
Baseline Consumer products
Adjusted ELO 1,495.1
Change from baseline -1.3 ELO
Industry Financial and professional services Modeled score74.2 / 100 Modeled category rank#4
Baseline Consumer products
Adjusted ELO 1,495.3
Change from baseline -1.1 ELO
Revenue Band $100M-$500M Modeled score74.6 / 100 Modeled category rank#5
Baseline $25M-$100M
Adjusted ELO 1,497.4
Change from baseline +1.0 ELO
Industry Retail and distribution Modeled score74.6 / 100 Modeled category rank#4
Baseline Consumer products
Adjusted ELO 1,497.3
Change from baseline +1.0 ELO
Industry Food and beverage Modeled score74.5 / 100 Modeled category rank#4
Baseline Consumer products
Adjusted ELO 1,497.2
Change from baseline +0.8 ELO
Industry Healthcare and life sciences Modeled score74.3 / 100 Modeled category rank#4
Baseline Consumer products
Adjusted ELO 1,495.6
Change from baseline -0.8 ELO
Industry Automotive and transportation Modeled score74.3 / 100 Modeled category rank#8
Baseline Consumer products
Adjusted ELO 1,495.7
Change from baseline -0.7 ELO
Revenue Band $500M-$2B Modeled score74.3 / 100 Modeled category rank#5
Baseline $25M-$100M
Adjusted ELO 1,496.0
Change from baseline -0.3 ELO
Revenue Band Over $2B Modeled score74.4 / 100 Modeled category rank#5
Baseline $25M-$100M
Adjusted ELO 1,496.5
Change from baseline +0.1 ELO
Revenue Band Under $25M Modeled score74.4 / 100 Modeled category rank#4
Baseline $25M-$100M
Adjusted ELO 1,496.4
Change from baseline +0.0 ELO
Cost guide
What it can cost
These estimates cover licensing, setup, integrations, staff time, security, administration, and support.
| Cost measure | Low | Base | High |
|---|---|---|---|
| First-year total | $64.3K | $101.5K | $164K |
| Three-year total | $137.2K | $207.8K | $322.5K |
| First-year cost per unit | $64.3K | $101.5K | $164K |
| Average annual cost per unit (over three years) | $45.7K | $69.3K | $107.5K |
Cost breakdown by scenario
| Component | Low | Base | High |
|---|---|---|---|
| Licensing and usage | $18.8K | $25K | $33.8K |
| Implementation | $10.8K | $18K | $30.6K |
| Integration | $12.1K | $22K | $39.6K |
| Staff time and change management | $7K | $10K | $14K |
| Security | $6K | $8.5K | $12.8K |
| Administration | $4.5K | $6K | $8.1K |
| Support | $2.1K | $2.8K | $3.8K |
Estimate assumptions: This scenario uses a category-based allowance, not a verified price for this product. Based on 1 production workspace. Confirm the vendor’s billing unit and current price or quote before budgeting.
Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.
Get started
What you need first
What you need firstSet up the basics
Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.
How to startSet clear limits
Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot
Before you scaleSet safe working rules
Recommended next action
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Decision ownerBusiness and technology owner
STARTSet a goal and owner
Define what success looks like for a test of Ontra AI and assign someone to lead it.
FIRST MONTHTest one workflow
Once the requirements above are met, compare a small trial with how your team works today.
MONTH TWOReview actual use
Track adoption, output quality, business results, and actual costs against the estimate.
MONTH THREEDecide what comes next
Use the results to decide whether to stop, adjust, or expand the pilot.
Risk profile
Required controls
Security and safe use
Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.
Exit and rollback
Review before rollout: confirm how to export your data, revoke access, and return to your existing workflow. Assign an owner and test the rollback plan before expanding use.
Recommended next step
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
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Research support
How to learn more about this tool
Where to check the product, price, security, and support.
Official product information
Ontra AI current product page
Read official information →
Research observations recorded: 1. Evidence quality: Some support.
Score history
How the rating has changed
Recorded score and category rank across research updates.
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TriVista Score 74.1/100Category rank #7
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TriVista Score 74.1/100Category rank #7
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