Evidence-backed legal research and document review workspace

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 law firms, in-house counsel and legal teams handling research and document review use it to solve "legal research and document review are split across several subscriptions, so precedents, summaries and extracted facts stay in separate tools and cannot be traced to a source"?
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: Accepted findings per review hour and corrections after reviewer approval.
4. Measure, then decide. Track accepted findings per review hour and corrections after reviewer 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 fixed jurisdiction set and licensed source corpus; final legal conclusions and privilege checks remain with qualified counsel. Implement one approved input format, a bounded representative case set and the first two task modules: search case law, statutes and precedents in natural language; filter results by jurisdiction, date and topic. Support the remaining modules with operator review: summarize lengthy legal documents; automate first-pass document review; ingest websites, PDFs and pasted text; highlight problematic clauses and money matters; extract facts tailored to the matter; generate reports and artifacts from analyzed data. 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 reviewer-approved research findings and document review outputs linked to cited sources. Retain the explicit scope boundary: One fixed jurisdiction set and licensed source corpus; final legal conclusions and privilege checks remain with qualified counsel.

What the build depends on. Document upload and preview, asynchronous analysis jobs, editable version history, reviewer access and tested export formats. High-fidelity legal work requires qualified legal QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One fixed jurisdiction set and licensed source corpus; final legal conclusions and privilege checks remain with qualified counsel.

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined matter package. Offer a monthly production allowance after repeat demand. Quote complex litigation or multi-jurisdiction review separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewer-approved research findings and document review outputs linked to cited sources. 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 research and review time while keeping every finding traceable to a source. Demonstrate a concrete reviewer-approved research findings and document review outputs linked to cited sources using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Law firms, in-house counsel and legal teams professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewer-approved research findings and document review outputs linked to cited sources from a small authorized input set, with a transparent calculation of accepted findings per review hour and corrections after reviewer approval and no promised savings.

The first 30 days

1. Week 1: interview five law firms, in-house counsel and legal teams handling research and document review and inspect a recent example of legal research and document review are split across several subscriptions, so precedents, summaries and extracted facts stay in separate tools and cannot be traced to a source.
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 accepted findings per review hour and corrections after reviewer 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: Accepted findings per review hour and corrections after reviewer 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

Accepted findings per review hour and corrections after reviewer approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewer-approved research findings and document review outputs linked to cited sources. 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 matter types, review constraints and reviewer corrections, together with reliable delivery for a narrow legal niche. Build a permissioned library of representative matter cases, reviewer corrections and verified operating constraints for law firms, in-house counsel and legal teams handling research and document review. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

LawCrawl, DetangleAI, Abel, Advomate, Screens, VIDUR and Tome, plus manual research and review. Compare this product with the buyer's present method on accepted findings per review hour and corrections after reviewer 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, document processing, storage, reviewer hours, client revision rounds and licensed source access. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewer-approved research findings and document review outputs linked to cited sources. Track cost per accepted output, including correction work, unsuccessful cases and support.