Law Firms

AI coworkers built for legal work, not shortcuts

Reduce time spent on intake, document-heavy work, and internal coordination with AI coworkers that support legal teams while respecting confidentiality, access controls, and professional standards.

Loved by professionals from 1000+ large and small brands around the worlds

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The sharpest and most capable AI agents in the market

The Challenge

Law firms handle large volumes of documents, client requests, and internal coordination under strict confidentiality and liability constraints. Intake, document review, precedent search, and internal requests often rely on manual processes and fragmented systems, consuming billable time and slowing responsiveness. As firms grow, the problem is not lack of expertise, but how much time is lost to non-billable operational work.

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50%

Faster preparation of matters through automated document gathering and structuring

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40%

Reduction in manual document review and internal coordination work

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50%

Faster responses to client requests and intake inquiries

Use Cases

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Streamline client intake and matter setup

Automatically classify incoming client requests, collect required information, gather relevant documents, and prepare structured matter summaries for review by legal teams.

Reduce time spent on document-heavy work

Assist with first-pass document review by extracting key facts, clauses, timelines, and references from large document sets so lawyers can focus on analysis and strategy.

Make firm knowledge usable in daily work

Surface relevant precedents, prior work, and internal guidance based on the matter context while enforcing strict access controls and confidentiality rules.

Integrated with the most popular softwares

SharePoint, Microsoft Outlook, Google Drive, document management systems, practice management software, billing systems, internal knowledge bases, secure internal APIs

Klart AI is integrated to all company tools, like Confluence, Zendesk, JIRA, Google Drive, OneDrive and more.

AI in Action

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Law Firms

Matter and case preparation

Klart AI gathers relevant documents, correspondence, and prior cases to prepare structured matter summaries for legal teams.

Client intake and request handling

Classify incoming client requests, collect required information, and route matters to the appropriate practice or workflow.

Document review support

Assist with first-pass document review by extracting key clauses, facts, and timelines from large document sets.

Knowledge and precedent access

Surface relevant internal precedents, prior work, and firm knowledge while respecting strict access controls.

Operations

End-to-end workflow execution

AI coworkers execute repeatable business processes across tools, from request intake to final system updates, following your rules and approvals.

Internal request automation

Handle internal requests from teams, route them to the right workflow, gather context, and complete actions or escalate when needed.

Operational exception handling

Detect when workflows fall outside defined rules and escalate to humans with full context and recommended next steps.

Vendor and partner coordination

Draft communications, follow up automatically, track responses, and update internal systems without manual back-and-forth.
User interface of Klarty virtual assistant showing a monthly report workflow setup with tasks from Google Sheets, an option to activate workflow, connected data sources including Google Sheets, Notion, Airtable, and task automation for Jira, Google Sheets, and Slack.

Customer Support

Ticket deflection

Resolve repetitive tickets autonomously and route complex cases to the right teams with full customer context.

Accelerated case resolution

Pre-draft responses using internal documentation, similar past cases, and recent product changes.

Knowledge base automation

Turn resolved tickets and internal decisions into up-to-date help articles and internal documentation.

CSAT insights

Analyze customer conversations to identify recurring issues, documentation gaps, and drivers of CSAT changes.
Customer support chat interface showing agent Lyra confirming an order return and refund for damaged item #48392 with validation and notification steps completed.

Marketing & Content

Campaign content generation

Generate structured, on-brand content for campaigns, product launches, and customer communications.

Content localization at scale

Adapt content across markets while preserving terminology, tone, and regulatory constraints.

Market and competitive intelligence

Monitor trends, competitors, and customer conversations to inform messaging and positioning.

Content performance summaries

Automatically generate summaries from campaign results, feedback, and engagement data.
Screenshot of an AI assistant named Calla suggesting five blog post ideas to promote a new smart home product line, with popular channel icons and a content outline visible.

Legal & Compliance

Policy-aware execution

Ensure automated actions follow internal policies, approval rules, and compliance constraints.

Audit-ready workflows

Maintain full logs of AI actions, decisions, and data usage for audits and reviews.

Access and permission control

Restrict what each AI coworker can see and do based on role and responsibility.

Regulatory support

Assist teams with compliance checks, reporting, and documentation in regulated environments.
Digital legal advisor interface named Justa showing compliance check for high voltage line installation with approval requirements and regulatory documents list.

Intelligence & Analytics

Operational reporting

Generate structured summaries of work performed, outcomes achieved, and bottlenecks encountered.

Customer and business insights

Aggregate signals from support, sales, and operations to surface meaningful patterns.

Analytics reporting

Retrieve analytics for internal and stakeholder reporting.

Decision support

Provide recommendations grounded in company data, historical actions, and current constraints.
Dashboard interface showing a data analyst named Kai analyzing product return reasons: damaged product 37%, wrong item shipped 24%, and size/fit issues 19%, with integrations to Google Drive, Salesforce, Notion, HubSpot, and Zendesk.