What should an extracted deadline include?
It should include more than a date. Look for the relevant document version, page or clause, exact supporting language, required action, and the person or organization responsible. If the deadline is calculated, retain the anchor event and counting rule. An unexplained date cannot tell you whether the system found an expiration, a payment milestone, or merely a historical reference.
Useful candidates include explicit expiration dates, renewal windows, notice periods, filing dates, reporting duties, certification requirements, and conditional obligations. Signature dates and example dates may also appear in the same document without creating a future action. Review what the language requires rather than approving every date that the system detects.
How do you prepare documents for reliable review?
Collect the complete current set: the signed document, relevant schedules, amendments, endorsements, and referenced material you are authorized to use. Check that pages are legible, correctly oriented, and not missing. A scanned page may contain an important handwritten change or table that is harder to read than surrounding text. Visually inspect the original when extraction looks incomplete.
Keep versions distinguishable. An unsigned draft, expired policy, and current amendment can contain conflicting dates that are all accurately read but serve different purposes. Record which files govern the review and flag any missing document. Upload only information you are authorized to share, and review the tool's security and retention information before providing confidential material.
How should relative or conditional dates be handled?
Require both a verified anchor and a verified rule before accepting a calculated deadline. “Within 30 days after acceptance” is incomplete until the relevant acceptance event is known. “60 days before expiration” requires the correct current expiration date. A system should not silently turn an unknown anchor into today's date or substitute a convenient signature date.
Check calendar versus business days, any defined counting method, and relevant delivery language. If a condition has not occurred, track the unresolved condition and who will confirm it instead of inventing a due date. Ask qualified help to resolve consequential ambiguities; AI-generated confidence does not establish the governing interpretation.
What does a verified extraction example look like?
Hypothetical example: A service agreement states that its term ends December 31, 2027 and that nonrenewal notice must be received at least 60 calendar days earlier. Assume there is no different counting rule. An extraction result proposes the term end and a November 1 notice deadline. The reviewer checks the clause, confirms the current term, repeats the calendar calculation, and verifies the required recipient and delivery method.
A separate clause requires a report within 15 days after the customer's written acceptance. The packet contains no acceptance evidence. The reviewer leaves that due date unresolved and records the missing trigger rather than approving a guessed date. The useful outcome is one verified calculation and one clearly identified question, not a longer list of dates that merely look precise.
How can you spot missing or incorrect findings?
Compare the extracted results with a manual pass through the sections most likely to create obligations: term, renewal, termination, notices, payment, schedules, and amendments. Search for phrases such as “within,” “before,” “no later than,” “expires,” and “upon receipt.” Use that pass to challenge omissions as well as incorrect dates. An empty results list does not establish that the document contains no deadlines.
Watch for duplicate findings, dates copied from examples, superseded clauses, confusing month/day formats, and obligations belonging to a different party. Check tables and footnotes directly. A second automated review may help surface inconsistencies, but it does not eliminate the need to inspect evidence or independently verify critical dates.
How should you evaluate an extraction tool?
Test it with a small set of documents you understand and are allowed to use. Include a clear expiration, a relative notice period, an amendment changing a date, and an unresolved trigger. Compare both detected and missed obligations against your own reviewed list. Check whether you can see source evidence, reject a finding, and keep uncertainty visible before approving anything.
Also examine document access, retention choices, deletion information, and how reminders begin. Favor a workflow you can verify over an unsupported accuracy claim. No single successful demonstration proves that every document format, clause structure, or future upload will be handled correctly.
What should you check before approving a finding?
- Is this the current governing document and complete page set?
- Does the quoted language actually require the proposed action?
- Are the responsible party, anchor event, and date format clear?
- Has any calculation been independently repeated?
- Have amendments and unresolved conditions been considered?
- Are critical dates backed up independently after approval?
How does Deadline Shield use human review?
Deadline Shield proposes potentially important dates and obligations with supporting evidence and an independent second-pass verification process. The user reviews and confirms findings before they become protected items with reminders. Dates can also be entered manually. These controls support review; they do not make extraction complete or establish legal rights.