Question 1

Who is Lexcel built for?

Accepted Answer

PE teams, R&W underwriters, and law firms on M&A and related transactions. Lexcel partners on end-to-end transactional workflows: diligence and underwriting intelligence, plus intake, deliverables, handoffs, and automation, integrated with your systems and data room. Contact Lexcel to explore a pilot.

Question 2

What does the benchmark study show?

Accepted Answer

Same M&A deal, side by side: Lexcel (1 attorney, 1.6 hours) vs. a four-attorney BigLaw team (100+ hours). Lexcel's unreviewed first draft surfaced more material findings on the same commercial contracts scope than the firm's polished final. Methodology and full results: https://lexcel.ai/journal/article-28.

Question 3

Which file or storage systems does Lexcel integrate with?

Accepted Answer

Google Drive, SharePoint, and Box, with no manual uploads. More providers are on the roadmap; customers can request prioritization.

Question 4

How does Lexcel pricing work?

Accepted Answer

Transaction-based tiers by deal size and complexity (mid-market vs. large-cap). Sales provides quotes for your structure and requirements.

Question 5

Where are files stored?

Accepted Answer

AWS S3. Each organization has its own bucket so deal data does not mix with other customers' data.

Question 6

Is Lexcel SOC 2 certified?

Accepted Answer

Yes. SOC 2 Type II. Data is encrypted in transit and at rest. Lexcel does not train on customer documents or use them to improve models.

Question 7

What AI models power Lexcel?

Accepted Answer

Primarily Claude, with support for swapping in OpenAI and others per task. Quality comes from deal-specific tooling and a prompting architecture built for transactions, alongside the models.

FAQs

Who is Lexcel built for?

How does Lexcel differ from general-purpose AI tools?

What does the benchmark study show?

Which file or storage systems does Lexcel integrate with?

How does Lexcel pricing work?