Document chronology service
Constructing a defensible event timeline requires extensive reading. Every event remains traceable to its source and date interpretation.
01The offer
For litigation teams reviewing large record sets, turn authorized case documents and event definitions into reviewed chronology with document references. Address the recurring problem: constructing a defensible event timeline requires extensive reading. The value hypothesis is a more complete, reviewable deliverable with less repeated preparation; the pilot must establish whether that benefit is real.
- For
- Litigation teams reviewing large record sets
- Takes in
- Authorized case documents and event definitions
- Delivers
- Reviewed chronology with document references
- Message
- Document chronology service for litigation teams reviewing large record sets. Every event remains traceable to its source and date interpretation. Demonstrate the claim through an evidence-linked sample chronology.
- Lead magnet
- An evidence-linked sample chronology
02How it works
- Extract candidate events
- Distinguish document and event dates
- Link passages
- Flag date ambiguity
- Merge duplicates
- Export reviewed timelines
Workflow
Agree the decision and research questions, define permitted sources or participants, collect evidence, code findings, compare supporting and contradictory material, review interpretations, and deliver a cited brief with next questions. Start with authorized case documents and event definitions and finish with reviewed chronology with document references.
AI and people
Assist with retrieval, transcription, structured extraction and thematic synthesis. Preserve source passages and methodological context. Human researchers validate inclusion, quotations and conclusions. Use real participants when customer research is required.
Screens
Key screens: Document explorer, dated timeline, evidence review. Organize work by research question. Show a source library, an evidence matrix and a draft findings panel with linked quotations. Keep contradictory findings and unanswered questions visible. Allow reviewers to inspect the original context before accepting an interpretation. In this product, the first view is document explorer, followed by dated timeline and evidence review.
Admin
Source provenance, participant consent where applicable, research questions, coding definitions, reviewer disagreements, citations and versioned conclusions.
03Market gap
Alternatives buyers use today
Research consultants, internal analysts, literature databases and general search or summarization tools. Differentiate on this specific proposed advantage: every event remains traceable to its source and date interpretation. Test it against the buyer's current method on the same task. Competitor coverage and uniqueness have not been established.
Where this wins
Niche research protocols, credible researcher relationships and a rights-cleared evidence archive with consistent interpretation methods. For this solution, build around every event remains traceable to its source and date interpretation. This advantage requires execution and accumulated customer trust; the base model alone is not a defensible asset.
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: constructing a defensible event timeline requires extensive reading.
05Proof & signals
Channels where buyers gather: Litigation support providers. Metrics that prove it works: Verified event accuracy, reviewer hours.
Paid pilot
Answer one practical question using a bounded evidence set. Ask a domain expert to review citations and reasoning, identify contrary evidence and assess whether the deliverable supports the intended decision. For this solution, use authorized case documents and event definitions and evaluate reviewed chronology with document references. Agree success thresholds with the buyer before starting; collect a baseline for verified event accuracy, reviewer hours. A positive signal is payment and repeat use with acceptable quality and delivery cost, not a favorable demo reaction alone.
06Execution plan
MVP
Begin with litigation teams reviewing large record sets and one recurring use case. Build the first two modules: extract candidate events; distinguish document and event dates. Provide operator assistance for the third module: link passages. Deliver reviewed chronology with document references through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.
First 30 days
Week 1: interview five prospective buyers in this segment: litigation teams reviewing large record sets. Ask to see a recent example of the problem and their current process. Week 2: prepare this demonstration using authorized or synthetic material: an evidence-linked sample chronology. Week 3: present it through litigation support providers and seek one narrowly scoped paid pilot. Week 4: review verified event accuracy, reviewer hours, total delivery effort and a concrete renewal decision before increasing scope.
After the pilot
After paid pilots establish value, automate the remaining modules: flag date ambiguity; merge duplicates; export reviewed timelines. Add one validated source integration, reusable customer configuration and recurring delivery. Expand to additional teams, document formats or languages only after testing the new scope.
Retention
Maintain the research question and evidence archive, offer follow-up studies and refresh important sources. Build repeat work around the buyer’s decision cycle.
Integrations
Authorized matter files, firm templates and approved legal knowledge collections. Permitted research libraries, interview recording imports, citation exports and document editors. Preserve original source metadata throughout the workflow. These are candidate integration categories, not verified supported connectors.
07Investment and running costs
| Phase | Scope | Time | Budget |
|---|---|---|---|
| MVP | One buyer segment, one recurring use case; first modules: extract candidate events; distinguish document and event dates. Manual review in the loop. | 6 days | $10,500 |
| Paid pilot | Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers. | 7 days | $14,000 |
| Full product | Remaining modules: flag date ambiguity; merge duplicates; export reviewed timelines. Self-serve onboarding, billing, monitoring and the wider integration set. | 3 weeks | $19,000 |
| Total | $43,500 | ||
| Running | Hosting | AI usage | Total a month |
|---|---|---|---|
| MVP and paid pilot (about 3 customers) | $50–$100 | $80–$160 | $130–$260 |
| Full product (about 50 customers) | $190–$380 | $880–$1,750 | $1,070–$2,130 |
Revenue model to test
Test USD 750-3,000 for one tightly bounded research question and evidence pack. Participant recruitment, specialist review and licensed data are separately scoped. Repeat tracking can become a retainer. Prices are hypotheses.
Cost drivers
Researcher time, source access, participant recruitment, transcription, evidence coding, expert review and report revisions.
Safeguards
Preserve matter confidentiality, access boundaries and original evidence. Qualified professionals review legal interpretations and final client documents. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.
Take it further
Concept proposal expanded from the 315-solution conversation. Demand, pricing, differentiation, build scope and integration feasibility are hypotheses, not verified market findings. Category link is inspiration rather than evidence of business viability.