Plain-language document comparison and clarification workspace

For

Legal, compliance and operations teams that must explain contracts, policies and forms to non-specialists

Solves

Dense documents and consent forms are hard to explain consistently, and reviewers cannot show which clauses changed, what was agreed or where the risk sits.

Delivers

A plain-language comparison and clarification record linked to source clauses

Built in

about 5 weeks of creation time, MVP in 6 days

Investment

$14,500 for the MVP, $49,500 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce explanation and review effort while keeping a defensible record of what was compared, clarified and approved.

1. Accept documents in multiple file formats.
2. Produce short plain-language summaries of dense text.
3. Return analysis results quickly for single documents.
4. Let the user set the simplification level.
5. Protect sensitive information during processing.
6. Process batches of documents at once.
7. Route priority support for paid users.
8. Translate text between languages.
9. Translate with minimal delay.
10. Keep the interface simple enough to use without training.
11. Save favourite translations for reuse.
12. Read translated text aloud.
13. Support offline translation of stored text.
14. Generate ready-made form and consent templates.
15. Build and adjust forms by drag and drop.
16. Connect to email and CRM systems.
17. Track form and subscriber behaviour as it happens.
18. Test alternative form versions against each other.
19. Analyse the current page's terms or privacy policy in one click.
20. Highlight risky clauses such as auto-renewals, data selling, hidden fees and waived rights.
21. Follow linked policy pages and include their content.
22. Allow use without an account or payment details.
23. Detect consent checkboxes on signup forms.
24. Work on any website rather than a fixed list.
25. Answer natural-language questions about the document.
26. Search across connected sources and file types.
27. Use context to refine results and relevance.
28. Compare the reviewed result with the recorded baseline and value assumptions.
29. Capture corrections and named-owner approval before consequential use.
30. Export a versioned plain-language comparison and clarification record linked to source clauses with source references and unresolved questions.

Everything these tools do, in one app

• Plain-language summarization Turns dense or complex text into a short, easy-to-read summary in everyday words.Found in Simpliterms, AgreeGuard
• Real-time analysis Analyzes text and returns results quickly, often within seconds.Found in Simpliterms, AgreeGuard, Lookup AI
• Document format support Accepts and processes documents in multiple file formats.Found in Simpliterms
• Customizable simplification level Lets the user adjust how simple or detailed the output should be.Found in Simpliterms
• Secure processing Protects sensitive information while handling documents.Found in Simpliterms
• Batch processing Processes multiple documents at once instead of one at a time.Found in Simpliterms
• Priority support Provides faster customer support for paid users.Found in Simpliterms, Volapyk
• Multi-language translation Translates text between many different languages.Found in Volapyk
• Real-time translation Translates text instantly with minimal delay.Found in Volapyk
• Simple interface Offers an easy-to-use design that requires little learning.Found in Volapyk, WiseOptIn, Lookup AI
• Saved translations Allows users to save favorite translations for quick access later.Found in Volapyk
• Text-to-speech Reads translated text aloud to help with pronunciation.Found in Volapyk
• Offline mode Lets users translate without an internet connection.Found in Volapyk
• AI-generated templates Creates ready-made form designs optimized for higher conversions.Found in WiseOptIn
• Drag-and-drop form builder Lets users build and customize forms by dragging and dropping elements.Found in WiseOptIn
• Email/CRM integration Connects with popular email marketing platforms and CRMs.Found in WiseOptIn
• Real-time analytics Tracks form performance and subscriber behavior as it happens.Found in WiseOptIn
• A/B testing Tests different form versions to see which one works better.Found in WiseOptIn
• One-click analysis Analyzes the current page's terms or privacy policy with a single click.Found in AgreeGuard
• Red flag detection Highlights specific risky clauses like auto-renewals, data selling, hidden fees, and waived rights.Found in AgreeGuard
• Deep Crawl Follows links to separate policy pages and includes their content in the analysis.Found in AgreeGuard
• No-account usage Works immediately without requiring sign-up or payment details.Found in AgreeGuard
• Consent checkbox detection Identifies consent checkboxes on signup forms so users know what they are agreeing to.Found in AgreeGuard
• Works on any website Functions on any website rather than a limited list of services.Found in AgreeGuard
• Natural language queries Lets users search using everyday questions instead of keywords.Found in Lookup AI
• Multi-source integration Connects to various data sources and file types for searching.Found in Lookup AI
• Contextual understanding Uses context to refine search results and improve relevance.Found in Lookup AI

What goes in, what comes out

The workflow

1. In
   Start with

   Licensed documents, form text, policy pages, consent checkboxes and reviewer notes

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect licensed documents

4. 3

   Form text

5. 4

   Policy pages and reviewer notes

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   A plain-language comparison and clarification record linked to source clauses

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate plain-language outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One approved document set and language pair; final legal interpretation and consent wording remain with qualified reviewers. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Document intake and permissions, Structured comparison and clarification workspace, Review and delivery. Use a document list with status, a central side-by-side comparison canvas for clauses and plain-language versions, and a right-hand panel for red flags, consent items, translations and comments. Let users switch simplification level and compare versions. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant clause. Make the task-specific outcome a plain-language comparison and clarification record linked to source clauses visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, document versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Client-owned document stores, email and CRM platforms, website and form builders, and translation services. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   6 days

   One buyer segment, one recurring use case; first modules: accept documents in multiple file formats; produce short plain-language summaries of dense text. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   7 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   2 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will legal, compliance and operations teams that must explain contracts, policies and forms to non-specialists use it to solve "dense documents and consent forms are hard to explain consistently, and reviewers cannot show which clauses changed, what was agreed or where the risk sits"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Reviewed documents per specialist hour and corrections after approval.
4. Measure, then decide. Track reviewed documents per specialist hour and corrections after approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One approved document set and language pair; final legal interpretation and consent wording remain with qualified reviewers. Implement one approved input format, a bounded representative case set and the first two task modules: accept documents in multiple file formats; produce short plain-language summaries of dense text. Support the remaining modules with operator review: highlight risky clauses and detect consent checkboxes; compare clauses side by side and answer natural-language questions; translate and read aloud where needed. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around the plain-language comparison and clarification record linked to source clauses. Retain the explicit scope boundary: One approved document set and language pair; final legal interpretation and consent wording remain with qualified reviewers.

What the build depends on. Document upload and preview, asynchronous analysis jobs, editable version history, reviewer access and tested export formats. High-fidelity legal review requires qualified reviewers. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved document set and language pair; final legal interpretation and consent wording remain with qualified reviewers.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined document package. Offer a monthly review allowance after repeat demand. Quote complex multi-language or regulated-sector work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded plain-language comparison and clarification record linked to source clauses. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce explanation and review effort while keeping a defensible record of what was compared, clarified and approved. Demonstrate a concrete plain-language comparison and clarification record linked to source clauses using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Legal, compliance and operations professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample plain-language comparison and clarification record linked to source clauses from a small authorized input set, with a transparent calculation of reviewed documents per specialist hour and corrections after approval and no promised savings.

The first 30 days

1. Week 1: interview five legal, compliance and operations teams that must explain contracts, policies and forms to non-specialists and inspect a recent example of dense documents and consent forms being hard to explain consistently.
2. Week 2: prepare a consented or synthetic demonstration of the task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure reviewed documents per specialist hour and corrections after approval, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Reviewed documents per specialist hour and corrections after approval. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Reviewed documents per specialist hour and corrections after approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs a plain-language comparison and clarification record linked to source clauses. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved clause mappings, consent patterns and review examples, together with reliable delivery for a narrow legal and compliance niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for legal, compliance and operations teams. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Simpliterms, Volapyk, WiseOptIn, AgreeGuard and Lookup AI, plus manual review and generic summarisation tools. Compare this product with the buyer's present method on reviewed documents per specialist hour and corrections after approval. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Model calls, translation and speech processing, storage, reviewer hours, client revision rounds and licensed source documents. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of the plain-language comparison and clarification record linked to source clauses. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve source wording, attribution, quotation accuracy and usage permissions. Qualified reviewers approve substantive interpretations and consent wording. One approved document set and language pair; final legal interpretation and consent wording remain with qualified reviewers. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.