Legal intelligence layer
Legal AI you can trust verify.Legal AI you can verify, replacing legal AI you can trust.
Lawrs reads your matter, drafts the redline, and cites the paragraph behind every claim it makes.
Brackenridge / Master services agreement
2 to action
Cap sits below your playbook floor. The last nine executed agreements with this counterparty used a twelve month measure.
Playbook 4.1 and Hartley MSA 2024, cl. 8.2
Used by legal teams at
A matter is not a prompt. It is four thousand documents, nine inconsistent versions of the same clause, and one partner who needs to know which version was signed.
Ingest the whole record
Point Lawrs at the matter folder. It resolves duplicates, reconstructs email threads, and reads scanned originals rather than skipping them.
Index structure and meaning
Every document is parsed twice, once by structure and once by defined term, so a finding can point at both the clause and the definition it depends on.
Ground every finding
Each statement is bound to the paragraph that supports it. The binding survives renumbering because it anchors to text, not to a section number.
Hand off something checkable
Output lands as a tracked redline and an obligations register with owners and dates, and the audit trail travels with it.
- Executed agreements318
- Counterparty markup rounds94
- Correspondence3,640
- Scanned originals160
Tool library
122 tools that each do one thing completely.
const review = await lawrs.tools.run("playbook-enforcer", {
matter: "brackenridge-msa-2026",
playbook: "commercial/standard-v7",
});
review.findings[0]
// {
// severity: "action_needed",
// clauseRef: "8.2",
// summary: "Cap below playbook floor",
// citation: { doc: "doc_8fa21", page: 14, para: 3 }
// }The same review, two ways.
Reading it yourself
- Nine versions of clause 8.2, read one at a time
- The exception you spotted on Tuesday, written nowhere
- A cap that looks fine until you reach the definitions
- Findings a reviewer has to reproduce from scratch
Running it through Lawrs
- Nine versions diffed against your playbook position
- Every exception in a register with an owner and a date
- Definitions indexed separately and checked against the clause
- Findings a reviewer confirms by clicking the citation
Trust posture
Your matter data does not train anything.
Isolated by tenant
Matter data is partitioned per client. Nothing crosses the boundary, including at index time.
No training on your files
Your documents are never used to train or fine-tune a model, by us or by a provider.
Full audit trail
Every retrieval and generation is logged with the source documents it touched.
Residency you choose
Processing is pinned to the region your engagement terms require.
“We stopped asking whether the answer sounded right. We started clicking the citation. That is the entire difference.”
“The register is the thing that changed how we work. Every exception has an owner and a date now, instead of living in someone's head.”
Put it on a real matter this week.
Bring one contract set. We will run it through the library and walk you through every finding and the paragraph behind it.