This project is a lightweight tool for extracting structure and intent from messy internal communications, especially email chains that sit upstream of legal work. Lawyers and legal-adjacent teams often receive requests in the form of fragmented emails, forwards, side comments, and implied expectations. Important details like deadlines, assumptions, trade-offs, and risk tolerance are rarely stated cleanly. Instead, they’re scattered across replies, tone, and context. The tool ingests an email chain and surfaces: what is being asked who is implicitly responsible deadlines and timing pressure areas of uncertainty or unresolved questions signals of commercial versus risk-driven intent It does not provide legal advice or judgement. Its purpose is to reduce cognitive load and prevent context loss by making the shape of the request visible before substantive legal work begins.
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28 January 2026
Chaos | Email to Task Extractor
Paste a messy email chain. Get a structured task list.
Ryan McDonoughGitHubWebsite
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About the Project
Practice Areas
Banking & FinanceBankruptcy & RestructuringCommercialCompetitionConstructionCorporateCriminalDisputesEmploymentEnvironmentalFamilyHealthcareImmigrationInsuranceIntellectual PropertyLitigationPersonal InjuryPrivacy & Data ProtectionReal EstateRegulatoryTaxTechnology, Media & TelecommunicationsTradeWhite Collar & InvestigationsWills & EstatesOtherBusiness DevelopmentLaw Firm Operations
Key Features
- Parses multi-party email chains into structured tasks and responsibilities
- Identifies implicit deadlines and urgency signals
- Highlights unresolved questions and missing inputs
- Separates commercial pressure from risk-related concerns
- Designed to support, not replace, professional judgement
Help Needed
Feedback from legal and legal operations professionals on:
- whether the surfaced signals align with how requests are interpreted in practice
- what feels useful versus noisy
- where the tool risks overstepping into judgement rather than support
Open to collaborators interested in UX refinement, evaluation, or real-world testing.
About the Creator
RM
Ryan McDonough