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Legal / Contract AI

Your legal team is reading every contract by hand to answer the same questions twice

Read contracts, answer recurring diligence questions, and flag clauses consistently with AI that lives inside your own tenant and region. Your trade secrets never leave a controlled, isolated data plane.

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500+ partner networkFortune 1000 experienceVendor-neutralSecurity-first
The problem

The bottleneck isn't the contracts. It's how you're reviewing them.

Lawyers and deal teams burn hours reading every contract clause-by-clause just to answer the same recurring diligence and questionnaire questions from scratch. The same clause gets flagged differently depending on who reads it, contracts queue up while revenue and onboarding wait, and the one tool that could fix it is the one your CISO won't let you feed confidential data into. Trade secrets, unpatented inventions, finances, and customer data are exactly the material going into these tools, so a deployment that mishandles or over-retains it is an existential risk, not a convenience problem.

Confidential information must be protected with at least the same degree of care the recipient uses for its own — and in no event less than a commercially reasonable degree of care.
Contract-review platform pilot NDA
On written request, all confidential copies and all derived notes/analyses must be returned or destroyed, with written certification of destruction.
Contract-review platform pilot NDA
Trade-secret material remains protected for as long as it remains a trade secret under applicable law — longer than the 3-year general term.
Contract-review platform pilot NDA
By the numbers

The case, in numbers

3 years
Standard pilot NDA confidentiality term
pilot NDA terms
100%
Confidential copies returned or destroyed at pilot exit
pilot NDA terms
How we solve it

A secure home for legal AI: your contracts, your tenant, your control

We don't resell a SaaS login and walk away. We broker the best-fit contract-review platform for your requirements, stand it up inside your own environment, and run the pilot end to end as a vendor-neutral integrator with no stake in which underlying product wins. This accelerates and standardizes review. It does not practice law or replace counsel's judgment.

01

Stood up in your own tenant and region

The platform is deployed inside your environment so confidential documents and source material never leave a controlled, isolated data plane. Nothing is shipped off to a third-party AI service with unclear handling.

02

Locked down before any real contract touches it

Access is secured with least-privilege identity, scoped credentials, and audit logging before live contracts ever enter the system. You know exactly who can touch contract data, and every action is logged.

03

Integrated where your contracts already live

We connect the tool to your document stores, email, and CRM so review fits existing workflows instead of becoming another silo people have to remember to use.

04

Reusable question sets for consistent review

We build and maintain question sets that drive recurring diligence, security-questionnaire, and clause-review checks the same way every time, so the answer doesn't change based on who reads the contract that day.

05

Vendor-neutral pilot with a rollback plan

Provisioning, identity, integration, and testing are owned end to end so your evaluation reaches a real go/no-go decision. If a product fails the security or integration test, it doesn't ship.

06

Certifiable clean exit

Data-classification and retention controls are applied up front, and on written request all confidential copies and derived notes are returned or destroyed with written certification. A clean exit you can verify, not just trust.

Where you stand

From ad-hoc to optimized

The free evaluation places you on this maturity curve and maps the climb.

L1
L2
L3
L4
L5
  1. L1 · Ad-hoc — Contracts reviewed manually clause-by-clause; recurring diligence and questionnaire answers redone from scratch each time; no reusable question sets; no defined data-handling policy for AI tools. (NIST CSF: Identify/Govern absent — no inventory of where contract data lives or who can touch it.)
  2. L2 · Reactive — Some teams experiment with third-party legal-AI tools ad hoc, often pushing confidential data into services with unclear handling; pilots stall because no one owns secure setup or integration; access is broad and unaudited. (NIST CSF Protect: identity and access controls inconsistent.)
  3. L3 · Defined — A contract-review tool is stood up in the org's own tenant/region with least-privilege identity, scoped credentials, and audit logging before real contracts touch it; data classification and retention windows are defined; a return-or-destroy-with-certification step is in place. (NIST CSF Protect/Govern established.)
  4. L4 · Managed — Reusable question sets drive consistent diligence, security-questionnaire, and clause-review checks; the tool is integrated with the systems where contracts already live (document stores, email, CRM); review fits existing workflows; access and usage are monitored and logged. (NIST CSF Detect: monitoring and audit in place.)
  5. L5 · Optimized — Contract review runs as a continuously improved, governed capability — question sets are maintained and expanded, throughput is measured against queue/revenue impact, exits are clean and certifiable, and tooling choices are revisited as a vendor-neutral best-fit decision with a tested rollback plan. (NIST CSF Respond/Recover: tested exit and rollback.)
What you get

Outcomes, not vendor brochures

  • Confidential contracts and trade secrets stay inside your own tenant and region, never leaving a controlled data plane
  • Recurring diligence and security-questionnaire answers run from reusable question sets instead of being redone from scratch
  • The same clause gets flagged the same way every time, regardless of who reviews it
  • Legal-AI pilots actually reach a go/no-go decision instead of dying in setup
  • Contract data access is least-privilege, scoped, and fully audit-logged
  • Review fits into your existing document stores, email, and CRM rather than adding a silo
  • A written return-or-destroy certification proves confidential material was handled cleanly when a pilot ends
Proven in the field

Outcome patterns these deployments are built for

Outcome patterns from across the industry — the shape of results vendor-neutral delivery produces.

Time-boxed pilot, clean exit: a team evaluates the software under a mutual NDA, shares confidential material, and at the end receives a written return-or-destroy certification — feasibility proven before any production commitment.
IP-sensitive deployment: a legal team feeds proprietary documents — finances, customer and supplier info, products, strategies, unpatented inventions and trade secrets — into a deployment built to protect that material with commercially reasonable care.
From scratch to reusable: a team that re-answered every diligence and security questionnaire by hand moves to structured question sets run against their own documents, so recurring checks run consistently every time.
Stalled pilot revived: a previously paused legal-AI evaluation reaches a real go/no-go decision once a vendor-neutral integrator owns secure setup, identity, and integration end to end.
Key facts
  • Secure contract-review AI is deployed inside the customer's own tenant and region so confidential documents never leave a controlled data plane.
  • A vendor-neutral integrator scopes requirements, brokers the best-fit platform, and runs the pilot with a rollback plan.
  • Reusable question sets drive diligence, security-questionnaire, and clause-review checks the same way every time.
  • On written request, all confidential copies and derived notes from a contract-review pilot are returned or destroyed with written certification.
  • Contract-review AI access is secured with least-privilege identity, scoped credentials, and audit logging before any real contract enters the system.
Questions, answered

Frequently asked

How do we push confidential contracts into AI without losing control of our data?
That's the right instinct, and it's the whole reason this is brokered as a secure deployment rather than a SaaS signup. The platform is stood up in your own tenant and region so confidential documents and source material never leave a controlled, isolated data plane. Access is locked down with least-privilege identity, scoped credentials, and audit logging before any real contracts touch the system.
Our last legal-AI pilot stalled because nobody owned the setup. How is this different?
That failure mode is exactly what gets owned here. The pilot runs end to end — provisioning, identity, integration with where your contracts live, testing, and a rollback plan — handled by a vendor-neutral integrator who has no stake in which underlying product wins, so the evaluation actually reaches a decision instead of dying in setup.
What happens to our trade secrets and proprietary data when the pilot ends?
On your written request, all confidential copies and any derived notes or analyses are returned or destroyed, with written certification of destruction. The standard NDA backing these pilots already requires that return-or-destroy-and-certify step — a clean exit a security-conscious buyer can verify, not just trust.
Won't AI just flag clauses inconsistently like our human reviewers already do?
Consistency is the upgrade you're buying. Reusable question sets drive the same recurring diligence, security-questionnaire, and clause-review checks the same way every time, so the answer doesn't change based on who happens to be reading the contract that day. A human still owns the final call — this standardizes the first pass, it doesn't give legal advice.
How do we know you're recommending the right product and not just reselling one?
The integrator is vendor-neutral with no stake in which underlying product wins. The role is to scope your security, integration, and workflow requirements, broker the best-fit platform, and run the pilot with a rollback plan. If a product fails the security or integration test, it doesn't ship.
We're a smaller team. Is this overkill for us?
The bottleneck you feel is independent of size: contracts queue up, revenue and onboarding wait on legal, and the same questions get re-answered from scratch. A reusable question-set workflow against your own documents removes the repeat work whether you're a two-person legal ops function or a full department.

See whether secure legal AI is safe to deploy in your environment

Start with a free IT and security evaluation. We map where your contracts live, scope your data-handling and integration requirements, and show you what a secure, vendor-neutral pilot looks like in your own tenant — with a certifiable clean exit before you ever commit to production.

Get your free IT & security evaluationBook a 15-minute call