AI Contract Review

Prepare contract review without hiding legal judgment.

We build workflows that extract critical clauses from NDAs, MSAs, DPAs, and vendor agreements, compare them against your legal playbook, and flag deviations for counsel review.

Workflow Value

From painful repeatable work to defensible action.

Routine contracts still create delivery drag

Legal, diligence, procurement, and advisory teams lose time reviewing routine NDAs, MSAs, DPAs, vendor agreements, and customer contracts. The drag comes from repeated clause checks, missing terms, obligation tracking, and late reviewer questions.

Playbook-Driven Deviation Detection

We do not just extract text. We configure the workflow with your specific legal or diligence playbook. The system parses the incoming contract, compares limitations of liability, indemnification, assignment, termination, audit rights, data protection, and governing law against your standard terms, and highlights deviations for review.

Complex Obligation Tracking

For master service agreements, the workflow extracts post-execution obligations such as reporting requirements, SLA penalties, renewal dates, audit rights, and security commitments, then structures them for CLM or ERP handoff.

Attorney-in-the-Loop Interface

We provide a custom React-based review interface. Attorneys see the original PDF side-by-side with the AI's extracted clauses, confidence scores, and flagged risks. They can accept, reject, or modify the findings with a single click, maintaining total control.

Workflow Architecture

How the system works behind the page.

Every solution is implemented as a controlled workflow, not a loose chatbot. The system operates inside approved data and tool scopes, produces inspectable outputs, and routes judgment back to the right human owner.

Scope the job

Define the exact workflow, input sources, business rules, user roles, output format, and what the AI agent is allowed to do.

Retrieve the right context

Pull only approved documents, records, ERP context, control libraries, or playbooks before the agent drafts or acts.

Produce source-visible output

Generate findings, matrices, notes, SQL-backed answers, or queues with source references, exception reasons, and confidence signals.

Validate before expansion

Measure reviewer edits, pass/partial/fail outcomes, time saved, exception quality, and adoption before moving to adjacent workflows.

FAQ

Frequently asked questions

Does this replace our existing CLM software?

No. It acts as the processing layer before or around the CLM. The workflow extracts structured fields from PDFs, routes deviations for review, and can push approved metadata into your existing CLM via API.

How is client confidentiality maintained?

For law firms or corporate counsel, we design tenant-isolated environments. Document data is not shared across clients, and we can offer deployment models where source data remains inside your VPC.

Automate one repeatable workflow.

Bring the workpaper, evidence review, diligence process, ERP answer queue, or reporting loop that consumes the most hours. We will map a practical workflow around your methodology.