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How Mary works

One record of the matter.

Mary organizes raw files; analyzes records to assert cited fact propositions; builds analysis, review and work product on top.

Book a demoISO/IEC 27001:2022 certified · Never used to train AI
Harlow v. Brennan FreightFrom the bundle to the record
Live
  1. 01OrganizeSplit, named, dated, deduplicated92 documents from 38 files
  2. 02AnalyzeDates, people, entities, relevance1,240 facts cited to the page
  3. 03InterrogateContradictions, gaps, privilege36 flags for a person to check
  4. 04ProduceChronologies, analyzes, draftsMaster chronology, updated 3 min ago

Illustrative example.

Ex. 1How it works

From raw files to work product.

Three stages. Every one reviewed by your team.

Every file, indexed.

Mary splits large file productions into the records inside them, names and dates each one according to customizable conventions, and removes duplicates. It’s the structured fact-file library every AI tool in your stack needs.

  • Title, description, type, date and page range for every document
  • Duplicates rolled into one canonical copy
  • Named and filed to your firm’s conventions
  • Relevance rated against the matter summary
Document index92 documents in 38 files · named to your firm’s conventions
All sorted
DocumentTypeDateRelevance
Dispatch log, depot 2PDF · pp. 1–6Operational record2023-03-14Very high
Driver statement, J. OrtizPDF · pp. 7–12Witness statement2023-05-02Very high
Email, R. Brennan to fleetPDF · pp. 13–14Correspondence2023-03-16High
Fuel receipts, MarchPDF · pp. 15–31Financial record2023-03-31Low

Every record becomes fact propositions, with citations for analysis.

Each fact proposition is a structured entry: date, people, entities, page and bates citations, relevance and themes. Filter, sort, and review each proposition and citation accordingly.

  • Every entry cites its source file and page
  • People and entities linked across the matter
  • Relevance scored against your case theory
  • Themes such as financial, medical or parenting
Entry · Master chronology

Truck 7 left depot 2 at 06:10 on 14 March 2023.

Verified
Date
2023-03-14 06:10
People
J. Ortiz (driver)
Entity
Brennan Freight
Citation
Ex. 31 · Dispatch log · p. 4
Relevance
Very high, against the matter summary
Themes
VehicleTimelineContradictionCorroboration

Work product that keeps up.

Chronologies, financial analyzes, drafts from your firm’s templates and custom tables, all built from the same record. When new records or review of propositions arrive, each work product suggests updates.

    DocumentsContracts, filings, reports
    CommunicationsEmails, messages, letters
    Witness accountsStatements, notes, interviews
    MaryKept current
    Factual recordOne reviewed record of the whole matter. Updated as new material arrives.
    Facts & events
    1,842
    People & entities
    128
    Issues
    24
    Contradictions
    12
    Gaps
    7
    Referenced but absent
    3
    Sources
    100%
    Coverage
    98%
    Review
    Up to date
    TimelineIssue analysisFinancial analysis
    Ex. 2Connect

    Connect the AI you already use.

    Copilot, Claude, ChatGPT, Harvey and your own AI work from the same record your team reviews.

    • iManageLive
    • ClaudeLive
    • ChatGPTLive
    • SmokeballLive
    • HarveyLive
    See every connection
    Ex. 3Review

    Review is built into every entry.

    Mary flags the negative space around every fact asserted, tracks team verification and prompt trails, and suggests gaps for follow up.

    Review status on every entry
    • Verified
    • Needs review
    • Unverified

    Sign-off is always a person’s action. Filter any chronology to what nobody has checked yet.

    A full audit trail
    Audit trail
    • A. ChenverifiedOrder signed Sep 28just now
    • M. PatelcommentedDon’t adopt either time yet1 hr ago
    • MarygeneratedChronology, 418 entriesyesterday
    • J. RossexportedStatement of facts to Wordyesterday

    See Mary on a matter like yours.

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