Enterprise RAG for Legal Teams

Master complexity. Find answers faster.

Starplum helps legal teams instantly locate information across case files and legal documents using advanced hybrid search and proprietary legal-grade AI. Get precise answers with citations back to the source text.

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Q

What is the liability cap for environmental breach in the MSA?

S

The liability cap is expressly limited to $1,250,000 for Direct Environmental Damages, provided the breach was not the result of gross negligence.

MSA_2024.pdf · §8.4 · p.12
Exhibit_A.pdf · p.14
3 sources verified
High confidence

Document overload is the enemy of precision.

Standard keyword search fails when complexity scales. Misplaced clauses, missed details in discovery, and hours spent manual-reviewing thousands of pages lead to risk and burnout.

1

The Keyword Gap

Traditional search doesn't understand legal nuance. If you don't use the exact word, you miss the critical evidence.

2

The Review Bottleneck

Manually skimming thousands of pages in discovery is slow, expensive, and inevitably leads to human error.

3

The Information Silo

Critical facts shouldn't be trapped in isolated PDFs. Fragmented data leads to incomplete case strategy.

Intelligence backed by evidence.

Starplum uses Retrieval-Augmented Generation (RAG) to ground AI answers in your specific document sets. We don't just generate text; we retrieve the exact passages you need to verify.

Retrieve

Our search engine finds the most relevant passages via hybrid keyword and vector search.

1
Generate

Starplum synthesizes a clear answer using only the retrieved evidence.

2
Cite

Every sentence is linked to a source document, page, and paragraph for instant audit.

3
Q

What is the liability cap for environmental breach?

A

The liability cap is expressly limited to $1,250,000 for Direct Environmental Damages, provided that such breach was not the result of gross negligence.

SourceMSA_2024.pdf · p.12 · §8.4
Audit verification loop active

Enterprise-ready document intelligence.

Everything you need to handle massive volumes of legal data with precision and security.

AI-Powered Hybrid Search

Combines keyword precision with vector semantic understanding to find meaning, not just words.

Cited Answers

Receive synthesized summaries where every claim links directly to a source document segment.

Automated Indexing

Documents are automatically chunked, tagged, and indexed by matter, client, or jurisdiction.

Privileged Data Isolation

Strict RBAC and matter-level isolation ensures only authorized users can query sensitive files.

Comparison & Detection

Identify subtle deviations across document versions and detect standard vs. non-standard clauses.

Audit-Grade Logs

Complete traceability of every question asked and every document accessed for compliance.

From data mess to cited clarity.

Three steps to a fully searchable, intelligent legal knowledge base.

Drag & drop your documents

PDF, DOCX, TXT — up to 50 MB

Master_Service_Agreement.pdf

2.4 MBPDF

Exhibit_A_Indemnification.pdf

890 KBPDF

NDA_Mutual_2024.docx

1.1 MBDOCX
3 documents · 4.4 MB
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Proprietary RAG Engine

Engineered for every practice area.

Starplum is a neutral, powerful layer that understands the structures of legal complexity, regardless of the matter type.

01Due Diligence and M&A Contract Review
02Litigation Discovery and Pre-trial Research
03Regulatory Compliance and Policy Audits
04Precedent Consolidation and Knowledge Management

Transform document overload into high-speed intelligence.

Save hours of manual document review

Eliminate search blind spots in large case files

Maintain 100% traceability for every AI-generated claim

Enhance client service with faster turnarounds

Verification Engine
Grounded in Evidence
Citation Verification
Every claim linked to source text
Source Grounding
Answers derived from your documents
Claim Traceability
Audit every response back to origin

“Our RAG governance model grounds every response in source documents with citation verification.”

Your data never leaves your control.

Starplum is built for the highest confidentiality standards, ensuring your documents are never used to train public models.

Deploys on isolated, enterprise-grade cloud infrastructure

Encryption at rest (AES-256) and in transit (TLS)

No training on customer data (Strict privacy commitment)

Strict RBAC and audit logging for every interaction

Architected for Professional Confidentiality.

“Our infrastructure provides enterprise-grade security with tenant-isolated data processing. No exposure, no training on customer data, absolute control.”

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Built for Verification.

In law, trust is earned through evidence. Starplum isn't a 'black box'—it's a transparency engine that lets you audit AI logic in one click.

Click citations to jump to exact page/paragraph
Side-by-side view with source documents
Reference context preserved across all queries
Citation Audit — Verify Sources
A
AI Response

The indemnification obligation is capped at $2.5M aggregate and applies only to third-party claims arising from breach of representations under Section 5.

§7.2(a) — p.14§7.4 — p.16
High confidence · 2 sources verified
MSA_2024.pdfp. 14

7.1 Each Party shall indemnify and hold harmless the other Party against any losses arising from material breach of this Agreement.

7.2(a) The aggregate liability for indemnification under this Article shall not exceed Two Million Five Hundred Thousand Dollars ($2,500,000).

7.4 This obligation extends only to third-party claims arising from breach of representations in Section 5.

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