Witness preparation topic organizer

01The offer

For litigation support teams, turn authorized case records and counsel-defined topics into counsel-controlled preparation index. Address this specific problem: counsel cannot efficiently connect preparation topics to record evidence. The aim: organize record references without scripting testimony. The pilot tests whether that benefit holds up against reviewer effort and real operating costs.

For

Litigation support teams

Takes in

Authorized case records and counsel-defined topics

Delivers

Counsel-controlled preparation index

Message

Organize record references without scripting testimony. Demonstrate the result with index a synthetic record set for litigation support teams. Use a concrete before-and-after example without promising unmeasured savings.

Lead magnet

Index a synthetic record set

02How it works

1. Index supplied topics
2. Link supporting passages
3. Preserve contradictory records
4. Flag missing sources
5. Record counsel notes
6. Export preparation binder

Workflow

The buyer creates a project, supplies authorized case records and counsel-defined topics, and confirms scope and access. The working sequence is: 1. Index supplied topics. 2. Link supporting passages. 3. Preserve contradictory records. 4. Flag missing sources. 5. Record counsel notes. 6. Export preparation binder. Users correct extracted facts, resolve flagged uncertainties and approve the final counsel-controlled preparation index before use. Retain source links and a version history for the next cycle.

AI and people

Retrieve evidence without inferring credibility or suggesting false accounts. Keep model suggestions separate from verified facts. Link factual outputs to authorized input evidence and show missing information explicitly. Use deterministic checks for counts, dates, identifiers and arithmetic where applicable. A designated reviewer validates consequential outputs and signs off the delivered result.

Screens

Key screens: Topic index, Evidence passages, Preparation notes. Use a searchable table or visual gallery with filters for the domain’s important attributes. Open each item into a detail drawer containing source records, ownership and history. Put proposed merges and field changes in a separate review queue. Provide a preview before any bulk export. Open with topic index; move into evidence passages for the detailed task; finish in preparation notes for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.

Admin

Record ownership, access permissions, change proposals, original-value retention, version history, review dates, bulk import/export and duplicate resolution. Include organization-scoped access, named project owners, review queues, usage limits, export history and retention settings. Never reuse private customer material for other accounts without permission.

03Market gap

Alternatives buyers use today

Spreadsheets, shared folders, existing asset or information management systems and manual data cleanup. Position this concept around organize record references without scripting testimony. Compare it against the customer's current process on the same representative task. This is proposed differentiation; no exhaustive competitor study or uniqueness claim has been established.

Where this wins

A useful niche taxonomy, customer-approved mappings and accumulated correction history that improve retrieval and reduce repeated cleanup. For this concept, accumulate permissioned examples and reviewer corrections around organize record references without scripting testimony. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.

04Why now

Legal teams are adopting AI for exactly this kind of repeatable work, and the cost of language and vision models has dropped far enough that a narrow, reviewed workflow pays back quickly. The buyer already feels the problem: counsel cannot efficiently connect preparation topics to record evidence.

05Proof & signals

Channels where buyers gather: Litigation support firms and law practices. Metrics that prove it works: Retrieval time and unsupported topic references.

Paid pilot

Agree the acceptance criteria, input limits and reviewer responsibilities before starting. Run index a synthetic record set and deliver counsel-controlled preparation index. Compare retrieval time and unsupported topic references with the buyer's current process on comparable cases; include corrections, missed issues and reviewer time. Seek payment and repeat use. Stop or revise the scope if data access, accuracy or unit economics fail.

06Execution plan

MVP

Costed pilot: Evidence organization; no coaching deceptive testimony. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: index supplied topics; link supporting passages. Support the third task through an assisted review queue: preserve contradictory records. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of counsel-controlled preparation index. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.

First 30 days

Week 1: interview five prospective buyers from litigation support teams and inspect how they handle counsel cannot efficiently connect preparation topics to record evidence. Week 2: prepare index a synthetic record set using authorized or synthetic material. Week 3: share the demonstration through litigation support firms and law practices and seek one bounded paid pilot. Week 4: measure retrieval time and unsupported topic references, review delivery effort and ask for a repeat purchase. This is a validation schedule, not a promise that the full product can be built in thirty days.

After the pilot

After paying customers repeatedly accept counsel-controlled preparation index, automate flag missing sources; record counsel notes; export preparation binder. Add one tested read integration, reusable customer configuration and scheduled repeat delivery. Increase supported formats or teams only when evaluation cases and reviewer capacity cover the new scope. Evidence organization; no coaching deceptive testimony.

Retention

Build repeat use around counsel-controlled preparation index. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on retrieval time and unsupported topic references. Offer a recurring volume allowance after repeat demand; expand to adjacent tasks only when the buyer asks and delivery quality remains acceptable.

Integrations

Authorized matter files, firm templates and approved legal knowledge collections. Source systems, catalog exports and cloud file storage. Start with reversible CSV or file imports and validate identifiers before any direct writes. Begin with uploads and exports of authorized case records and counsel-defined topics. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.

07Investment and running costs

Revenue model to test

Test USD 500-2,500 for one collection cleanup and launch, followed by USD 100-500 monthly for maintenance within agreed record limits. Larger migrations and complex rights management are separately scoped. Prices are hypotheses. For this buyer, package the first sale around index a synthetic record set and the defined counsel-controlled preparation index. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Cost drivers

Import cleanup, extraction, storage, indexing, steward review, duplicate investigation and recurring source updates. Initial validation additionally budgets for litigation professional review. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.

Safeguards

Preserve matter confidentiality, access boundaries and original evidence. Qualified professionals review legal interpretations and final client documents. Evidence organization; no coaching deceptive testimony. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.