Legal AI
AI Agents for Document Review and Matter Intake
A legal AI agent is a system that drafts, summarizes, or routes matter documents such as intake forms, discovery batches, or contract redlines while respecting attorney-client privilege boundaries and firm conflict-of-interest rules, with an attorney reviewing anything that leaves the firm's document management system.
01Privilege and confidentiality first
Privilege doesn't survive careless automation. Before we touch a workflow, we identify which documents are privileged work product, which are client confidential but not privileged, and which are public filings. Each category gets a different data handling rule, and privileged material never leaves your document management system to reach a general purpose model endpoint without a private or firm-controlled deployment.
Conflict checking runs before intake automation goes live. If an agent is drafting new-matter memos, it checks the firm's existing conflict database first, the same way a paralegal would, and flags anything ambiguous for a partner to resolve manually.
02Workflows we build most often
Matter intake and conflict flagging
New client intake forms are parsed, checked against the conflicts database in Clio, and routed to the right practice group with red flags surfaced up front.
Discovery batch triage
Large document productions are pre-sorted by relevance and privilege likelihood before human review, cutting the volume associates need to eyeball first.
Contract redline summarization
Redlines against a standard template are summarized clause by clause so the reviewing attorney sees what changed without re-reading the whole document.
Billing narrative drafting
Time entries are converted into client-ready billing narratives that match firm style guides, pulled from matter notes in NetDocuments.
03How a legal engagement runs
- Step 01
Privilege and data mapping
We classify document types by privilege and confidentiality level and set access rules before any workflow is built.
- Step 02
Pilot on one practice group
We build for a single practice group, such as commercial litigation intake, rather than firm-wide from day one.
- Step 03
Attorney review cycle
Associates and partners test agent output against closed matters to check accuracy before it touches live client work.
- Step 04
Conflict database integration
Intake automation is wired to the existing conflicts system so no new matter opens without a check.
- Step 05
Rollout with version control
Document versions and agent-generated drafts are tracked in NetDocuments so nothing overwrites an attorney's edits.
04Legal engagement specifics
| Spec | Detail |
|---|---|
| Typical entry point | Matter intake automation or discovery document triage |
| Typical timeline | 5 to 10 weeks for a single practice group |
| Integration surface | Clio, NetDocuments, iManage, court e-filing portals, conflict databases |
| Data sensitivity | High. Privileged work product requires firm-controlled deployment, not shared endpoints |
| Human review requirement | An attorney reviews and signs off on every drafted document before it is filed or sent to a client |
| What does not work well | Autonomous legal advice or final contract execution without attorney sign-off |
05What we will not automate
We do not build agents that give legal advice, finalize contract terms, or file documents with a court without attorney review. Unauthorized practice of law rules exist for a reason, and a firm's malpractice coverage generally assumes a licensed attorney made the final call. Our agents draft and triage. They do not practice law.
Scope a pilot with your managing partner
Call (720) 330-5721 to discuss intake automation or discovery triage for one practice group first.
FAQQuestions
Common questions
Will privileged documents ever touch a shared AI model?
No. Privileged work product runs through a firm-controlled or private deployment, never a shared public endpoint.
Does the agent replace associate review of discovery?
No. It pre-sorts by relevance and privilege likelihood. An attorney still reviews every document before production.
Which practice management systems do you support?
Most projects integrate with Clio, NetDocuments, or iManage depending on the firm's existing stack.
How do you handle conflict checks during intake automation?
The intake agent queries the firm's existing conflicts database before a new matter opens, the same check a paralegal would run.
Last reviewed 2026-08-16
NEXTRelated pages
Use cases
- Multimodal AI for Document Data Extraction
Document data extraction is the task of pulling structured fields, like names, dates, amounts, or clauses, out of unstructured files such as PDFs, scanned forms, or photographs. Multimodal AI models read both the text and the visual layout of a document to extract this data accurately, even from messy or inconsistent formats.
- Intake Form Processing
Intake form processing automation reads new client or patient intake submissions, extracts the relevant fields, checks them against required criteria, and routes the record into the correct system without a staff member retyping the information, cutting the delay between a submitted form and a usable record in the CRM system.
- Contract Review
Contract review automation is a document analysis system that reads incoming contracts, whether scanned PDFs or native text, and flags clauses that deviate from approved templates so legal or procurement staff can focus review time on the parts that actually need attention, instead of rereading boilerplate language that never changes.
Solutions
- Business Process Automation
Business process automation removes repeated manual work from a company's back office. Lingows AI automates document processing, data entry, approval routing, and recurring reporting by combining models that read unstructured input with integrations that write clean records into systems of record.
- Multimodal AI
Multimodal AI works with inputs beyond text: scanned documents, photographs, audio, video, and sensor readings. Lingows AI builds production systems that extract structure from those inputs, route the result into business workflows, and generate media where a business needs it at volume.
Scope an AI build for ai implementation for law firms and legal departments
Bring one workflow, its volume, and the systems of record behind it. Lingows AI will tell you what automates cleanly and what should stay with a person.