Contract Review Workflow
Every incoming contract reviewed within 2 hours. Red flags surfaced. Redlines drafted. Counsel involved only when needed.
Contracts pile up — customer MSAs, vendor agreements, employment offers, NDAs, SaaS terms, partnership MOUs. Each one takes 1-2 hours to read carefully; you don't have 10-20 hours a month for contracts. Result: you skim-sign contracts and hope. Every few years it catches up — a customer clause that caps your liability at $100K bites you on a $500K dispute, a vendor terms that auto-renews for 3 years traps you, a partnership IP clause quietly claims rights to something important.
AI COO triages every incoming contract within 2 hours: classifies type, flags high-risk clauses against your playbook, drafts a risk memo, and suggests redlines. Low-risk standard contracts get your signature recommendation same-day. Medium-risk contracts get a redline draft to send back. High-risk contracts get flagged for external counsel with the specific issues pre-identified.
How it runs
- 1Intake and classification
Any contract arriving via email, DocuSign, or uploaded to Notion gets auto-ingested. AI COO classifies type (customer MSA, vendor SaaS terms, NDA, offer letter, partnership, etc.) and checks against your standard playbook for that type.
- 2Clause-level risk analysis
Within 30 minutes, AI COO produces a clause-level analysis: each clause rated green/yellow/red, with specific concerns flagged. Red clauses explained in plain English ('they can unilaterally terminate with 30 days notice, which means you can lose this revenue stream on their timeline not yours').
- 3Playbook comparison
For standard contract types (customer MSAs, NDAs) you have a pre-configured playbook: acceptable caps, required exclusions, non-negotiable terms. AI COO flags any clause that deviates from playbook. Novel contracts get flagged as 'no playbook — needs human review.'
- 4Risk memo generation
For every contract: a 1-page risk memo with executive summary, top 3 concerns, financial exposure estimate, and recommendation (sign / redline / escalate to counsel). Memo in your inbox before you've finished your morning coffee.
- 5Redline drafting
For medium-risk contracts with playbook coverage, AI COO drafts the redline suggestions: specific language changes, rationale for each, and the counter-clause from your playbook. Redlines formatted as track-changes in Word or as redlined PDF. You review and send back to counterparty.
- 6Negotiation support
During back-and-forth negotiation, AI COO tracks each revision round: what changed, what got conceded, what's still outstanding. For tough negotiations, drafts counter-arguments and fallback positions grounded in your playbook. You stay strategic; the AI tracks details.
- 7Signed contract archive
Fully-executed contracts get archived with metadata: effective date, term, renewal date, key obligations, counterparties, and financial terms. AI COO sets reminders for renewal decisions 60 days in advance. No contract ever auto-renews into something you forgot to review.
Who runs it
What you get
- ✓Every incoming contract triaged within 2 hours (vs weekly contract backlog)
- ✓High-risk clauses caught before signature — not 2 years later in a dispute
- ✓Redlines drafted for 70-80% of contracts without involving external counsel
- ✓External counsel time focused on genuinely novel/high-stakes contracts (5-10x more efficient)
- ✓Contract renewal dates never missed — auto-renewal traps eliminated
- ✓Audit-ready contract archive with full metadata
- ✓Founder decision time on contracts drops from 10+ hours/month to <1 hour
Frequently asked questions
Can AI really replace a lawyer? What about liability?
Tycoon is not a legal advisor and doesn't replace licensed counsel for novel or high-stakes contracts. What it does: handles the 80% of contracts that are standard variations of things you've signed before, where the legal work is pattern-matching against your playbook. For novel contracts, high-dollar contracts, regulated industries, or anything involving IP assignment or equity, Tycoon flags for counsel review with the specific issues pre-identified, which makes counsel work much faster and cheaper. Many small companies use Tycoon as the 80/20 layer plus a fractional GC on retainer for the rest.
How is this different from Ironclad, LinkSquares, or Harvey?
Ironclad is CLM (contract lifecycle management) — a system of record for contracts in motion and signed. LinkSquares is contract intelligence — searching and extracting from signed contracts. Harvey is AI-assisted legal research for lawyers. Tycoon is the team operating the contract function: triage, risk analysis, redline drafting, negotiation support. For companies under 100 people without an in-house counsel, Tycoon replaces the absent legal ops function. For larger companies with counsel, Tycoon augments them by handling the high-volume low-risk work.
What if I'm in a regulated industry (healthcare, finance, defense)?
Regulated industries require higher-certainty legal work and Tycoon should be used with appropriate scoping. Recommended setup for regulated: Tycoon handles intake, classification, risk-flagging, and playbook comparison. All contracts still route to in-house or external counsel for final review. The value is the speed-up and issue-spotting that makes counsel more efficient, not contract-signing autonomy. Many regulated startups use Tycoon as a first-pass filter that makes their counsel spend 50%+ less time per contract.
What about jurisdiction — my contracts are across US, UK, EU, India?
Tycoon's contract analysis is US-law-trained by default with growing coverage of UK, EU (Germany/France most mature), Canada, and Australia. For India, Singapore, Japan, and other jurisdictions, flagging works (identifies unusual clauses) but playbook comparison is less developed. For contracts under US law with international counterparties, coverage is strong. For contracts under non-US governing law, treat Tycoon as first-pass only and always have local counsel review.
Can it handle contract negotiation over multiple revision rounds?
Yes. AI COO tracks the full revision history: round 1 your redlines, round 2 their counter, round 3 your response, etc. Each round, the AI pulls the delta from previous round, assesses whether they're moving toward acceptable or digging in on a problem clause, and drafts the next response grounded in your playbook. For complex negotiations (major customer MSAs, M&A docs), founders still want to be deeply involved in strategy — the AI handles the draftwork and detail tracking so you can focus on the negotiation strategy.
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