AI legal diligence for M&A and financing teams
Startup lawyers write off up to 40% of their time on early-stage deals. Mage handles the mechanical review, extracting terms, flagging deviations, generating issues lists, so every hour you work is an hour you bill.
Purpose-built for your practice
Mage is designed for the specific workflows and document types that transactional attorneys encounter every day.
Issues Lists from NVCA Templates
Upload term sheets, voting agreements, and investor rights agreements. Mage generates issues lists benchmarked against NVCA standards, highlighting deviations in protective provisions, board composition, registration rights, and information rights. Export to Word in your firm's format.
Schedule Preparation
Accelerate disclosure schedule preparation by cross-referencing against company records. Surface missing items, verify completeness against the SPA, and flag disclosures that may need updating before signing.
Amendment Tracking
Track how investor rights have evolved across Series A, B, C rounds. Surface provisions that were modified, added, or removed, essential for understanding the current state of governance documents.
Document types: NVCA Model Documents, Term Sheets, Certificates of Incorporation, Voting Agreements, Investor Rights Agreements (IRAs), Right of First Refusal and Co-Sale Agreements (ROFRs), Stock Purchase Agreements, Convertible Notes, SAFEs, Side Letters, Management Rights Letters
What Mage catches
Real issues surfaced from document review across hundreds of data rooms:
IP assignment gap
Contractor agreement missing present-tense assignment of work product
Change of control trigger
Customer contract requires consent for acquisition or terminates automatically
Non-compete scope issue
Executive non-compete extends 24 months post-termination, unenforceable in CA
Anti-assignment without carve-out
Vendor agreement prohibits assignment, no exception for affiliates or M&A
Before and after
How Mage changes diligence timelines:
Manual review
3-4 days
With Mage
6 hours
Why ECVC Teams Choose Mage
Turn diligence from a cost center into billable work
Financing diligence is often written off because it takes longer than the deal economics justify. Mage changes that equation.
Recover written-off hours
Startup lawyers routinely write down up to 40% of diligence time because clients won't pay for mechanical review on smaller deals. When Mage handles extraction and comparison, the hours you spend are strategic hours clients will pay for.
Teams using Mage report recovering 85% of diligence time as billable.
Close deals faster
Founders expect term sheet to close in 2-3 weeks. When diligence becomes a bottleneck, deals slip or clients find faster counsel. Mage compresses the mechanical work so you can turn issues lists around same-day.
Turn around Series A legal diligence in 6 hours, not days.
Catch what time pressure misses
When you're staffed thin and the deal needs to close Friday, something gets missed. Mage provides comprehensive coverage across every document, surfacing the MFN trigger in a side letter or the non-standard protective provision that would otherwise slip through.
100% coverage, not "we'll spot-check the material ones."
Scale without adding headcount
When three deals land the same week, you either burn out associates, turn away work, or cut corners. Mage gives your team capacity to handle volume spikes without the overhead of hiring for peak demand.
Handle 3x the deal volume with the same team.
Proprietary Technology
Multi-Model Verification
We don't rely on a single AI model. Mage uses multiple frontier models simultaneously to verify extractions and achieve accuracy no individual model can match.
How It Works
Parallel Evaluation
Each document is analyzed simultaneously by multiple frontier models, each with distinct strengths.
Cross-Verification
Our system compares outputs across models to identify consensus and flag discrepancies for review.
Verified Output
Only extractions that meet confidence thresholds are delivered. Low-confidence items are flagged for attorney review.
Model Fusion Technology
OpenAI
Claude
Gemini
Fusion
Best of all
Our Adaptive Neural Router fuses outputs from multiple frontier models to achieve accuracy no single model can match.
Built for production use
Source citations on every extraction
Direct links to page and section in original documents
Deterministic output
Same input produces identical results across runs
Standard output formats
Word, Excel, PDF—fits existing workflows
Attorney review still required for: Low-confidence extractions, complex cross-references, and judgments that cannot be made from the documents alone (e.g., what is done in the ordinary course of business or which items meet a materiality threshold).
Enterprise Security & Compliance
Zero Data Retention
Documents processed and immediately deleted. Never used for model training.
AES-256 Encryption
End-to-end encryption at rest and in transit. Bank-grade security standards.
Role-Based Access
Granular permissions and audit logs for all document access.
SOC 2 Type II certification in progress · Single tenant deployment available · GDPR compliant
Works with your existing tools
Mage integrates with standard VDR exports and outputs to the tools you already use.
Data Rooms
Box
Dropbox
Intralinks
Mage
Export
Word (.docx)
Excel (.xlsx)
Input
Process
Output
Series C with 12 investors and complex side letter matrix
Challenge
ECVC team needed to close a $45M Series C in 10 days. The cap table included 12 existing investors with varying side letter rights, 3 new lead investors requesting board seats, and a secondary component requiring consent analysis. Manual review would take 3-4 days, time the deal timeline didn't allow.
Result
Mage extracted all protective provisions, information rights, and board composition requirements across 180+ documents including prior financing docs, amendments, and side letters. Surfaced 6 MFN triggers that would cascade to new investors, identified 2 conflicting pro rata rights, and flagged a drag-along threshold that required amendment. Delivered complete issues list in 6 hours. Deal closed on schedule.
Need partner approval?
Generate an email to share Mage with your team
Built by lawyers, for lawyers
Mage was founded by attorneys with years of BigLaw experience from top firms like Kirkland & Ellis, Gunderson Dettmer, and Goodwin Procter. We understand the mechanical work because we've done it ourselves.
Try It On Your Next Deal
Run your next financing through Mage and see the results before you commit. No obligation.
Get StartedFrequently Asked Questions
Common questions about Mage
Mage analyzes NVCA documents, term sheets, voting agreements, investor rights agreements, and side letters to extract key terms and identify deviations from market standards. We generate issues lists based on NVCA templates, compare provisions across multiple investors, track rights evolution across funding rounds, and surface MFN triggers and cascading obligations.
Yes. Startup lawyers routinely write down up to 40% of diligence time because clients won't pay full rates for mechanical document review on smaller deals. When Mage handles extraction and comparison, the hours you spend become strategic analysis hours that clients value and pay for.
Mage typically processes a full Series A document set (term sheet, charter, ROFR, IRA, voting agreement, and side letters) in under 6 hours. For bridge rounds with multiple existing instruments, expect 1-2 hours. Results stream in real-time, so you can begin reviewing high-priority items while remaining documents process.
Yes. Mage is trained on NVCA model documents and uses them as the benchmark for identifying non-standard provisions. When we flag a deviation, we show both the actual language and the NVCA standard so you can quickly assess materiality.
Mage provides comprehensive AI coverage across your entire data room. Our platform automatically classifies documents, extracts key provisions (liability caps, change of control, termination rights), flags high-risk items, generates diligence memos, compares contract redlines, and prepares disclosure schedules. Attorneys review AI findings rather than reading every document.
Mage achieves high accuracy through our proprietary Model Fusion Technology, which combines outputs from multiple frontier models including GPT, Claude, and Gemini to achieve accuracy no single model can match. Every extraction links to source text for verification. AI serves as a powerful first pass, with attorneys reviewing and approving findings.
Yes. Mage maintains enterprise-grade security with SOC 2 Type II controls. We never train on your documents or client data. Documents are encrypted (AES-256 at rest, TLS 1.3 in transit) and automatically purged after processing. We support SSO and MFA for firm-wide deployment.