Permitting intelligence for infrastructure projects

Project record

Find the mistake that puts your project at risk.

Your entire permitting history. Every detail connected.

Your permit deserves
better than a chatbot.

General legal AI

The model picks what to read and guesses at the restAn AI model picks three passages of a permitting record and skips the rest. Its findings cite section 12.4(c), which does not exist; a filter strikes that line. The skipped parts of the record stay unread and unknown, and the findings cannot vouch for them.Permitting recordNot readFindings§ 12.4(c)Not in record
The LLM decides what to look at.Your team never sees what it skipped.

They answer first and check later.General-purpose legal AI hands your permitting record to an LLM and filters out the hallucinations before you see them. But a filter can only remove what the model shouldn’t have said. It can’t find what the model never looked at.

Lithex

Every statement is checked before the model sees anythingLithex checks every statement in the same permitting record for consistency, support and currency in a single pass. Two statements contradict each other and one has been superseded. Each finding cites the sections it rests on. Only then does the AI model read the findings and turn them into recommended fixes for your team.ConsistentSupportedCurrentPermitting recordFindingsConflicting statements§ 2.1§ 4.3Outdated informationRev. 4Recommended fixes
The LLM works from verified findings.Your team sees every issue in the record.

Lithex works the other way around.It checks every statement your permits make: is it consistent, is it supported, is it current? Only then does the LLM come in, to help your team decide what to fix.

Built for the people behind every permit

Environmental & energy counsel

Catch conflicting figures and unanswered comments before a challenger does.

In-house project counsel

Know what’s been filed, what’s missing, and what’s holding up the schedule.

Permitting consultants

Compare each new permit against the last, and against similar permits nearby.

The team

Reach the founders at founders@lithex.ai.

Shllok Rawat
Co-Founder & CEO
Applied Mathematics & Business Economics, UCLA
LinkedIn
Kevin Toren
Co-Founder & CTO
Computer Science, UCLA
LinkedIn

Catch it early.
Defend it with proof.

See how Lithex turns a sprawling permitting history into specific issues, supporting evidence, and a clear place to start.