AI agents for
law firms & legal departments.
Automate contract review, accelerate legal research, streamline client intake, and capture lost billable time — with attorney-client privilege safeguards and ABA-compliant human-in-the-loop controls built into every workflow.
Where legal AI agents deliver results.
Four workflows where we consistently see measurable impact within the first quarter of deployment.
Contract Review & Extraction
Before
Associates spend 60–80 hours per due diligence project manually reviewing contracts, extracting key terms, and flagging deviations from standard positions. Inconsistencies slip through under deadline pressure. Partners review work product that is already late.
After
A contract review agent ingests the full document set, extracts key clauses, flags deviations from your firm's standard positions, and produces a structured summary — in hours instead of weeks. Associates focus their review on agent-flagged risk areas.
85% faster contract review
Legal Research Automation
Before
Junior associates spend days running Westlaw and Lexis searches, reading dozens of cases, and synthesizing findings into memos. Research quality varies by associate experience. Partners cannot verify thoroughness without repeating the work.
After
A research agent searches across case law databases, identifies on-point authorities, extracts relevant holdings, and produces a draft research memo with pinpoint citations — all within hours. Associates verify citations and refine the analysis rather than starting from scratch.
70% reduction in research time
Client Intake & Conflict Checks
Before
New matter intake takes 2–5 business days. Conflicts analysts manually search across multiple databases, partner name variations, and corporate family trees. Missed conflicts create malpractice exposure. High-value prospects go to competitors while you clear conflicts.
After
An intake agent captures matter details from the initial inquiry, runs automated conflict checks across your entire matter history and corporate relationship database, and flags potential conflicts with confidence scores — reducing intake to hours, not days.
90% faster conflict clearance
Billing & Time Entry Automation
Before
Attorneys reconstruct their time entries at end of day — or end of week — from memory, calendar entries, and email timestamps. Firms lose 10–30% of billable time to under-recording. Billing disputes consume partner time. Revenue leaks are invisible.
After
A billing agent monitors attorney activity across email, document management, and calendar systems, drafts time entries in real-time, and suggests appropriate billing codes and matter assignments. Attorneys review and approve entries daily instead of reconstructing them weekly.
15–25% increase in captured time
Built for legal leaders who need leverage.
Managing Partners
You need to increase profitability per partner without adding headcount. AI agents let your existing attorneys handle more matters, capture more billable time, and deliver faster turnaround — the metrics that drive partner compensation and client retention.
COO / Director of Operations
Intake bottlenecks, billing leakage, and administrative overhead consume resources you cannot hire your way out of. Agents automate the operational workflows that drain your staff — conflict checks, time entry, document processing — so your team focuses on high-value work.
CTO / Director of IT
You need AI solutions that integrate with your existing DMS, practice management, and billing systems without creating security vulnerabilities or compliance gaps. We build within your security framework, not around it.
Head of Knowledge Management
Your firm's institutional knowledge lives in millions of documents, precedent files, and attorney expertise. AI agents surface that knowledge at point of need — during drafting, research, and matter strategy — so every attorney has access to the firm's collective intelligence.
From practice assessment to production agent.
Practice Area Assessment
We audit your firm's workflows across practice groups — document review, research, intake, billing — identifying where AI agents will deliver the highest ROI while staying within your ethical obligations and risk tolerance.
Ethical Compliance Architecture
We design the data architecture, privilege protections, ethical wall enforcement, human-in-the-loop checkpoints, and audit trail systems. Your ethics counsel and IT team review and approve the architecture before development starts.
Pilot with Selected Practice Group
We deploy the first agent to a single practice group on a controlled set of matters. We measure accuracy, attorney adoption, time savings, and compliance metrics before expanding across the firm.
Firm-Wide Rollout
Proven agents are rolled out across practice groups with customized configurations per group. Ongoing monitoring dashboards track accuracy, usage, and compliance. We train attorneys and support staff on effective agent collaboration.
Questions about legal AI agents.
How do you protect attorney-client privilege when using AI agents?
Attorney-client privilege protection is engineered into the architecture from day one. We deploy agents within your firm's security perimeter — on-premise or in a dedicated cloud tenancy — so privileged communications never leave your controlled environment. No client data is used to train third-party models. We implement strict data isolation between matters, role-based access controls aligned to your ethical walls, and complete audit trails that document every document the agent accessed, every output it generated, and every attorney who reviewed that output. The architecture is documented for your ethics counsel to review before any development begins.
How do AI agents comply with ABA Model Rules on competence and supervision?
ABA Model Rule 1.1 requires competent representation, which courts and ethics committees increasingly interpret to include understanding the AI tools you use in practice. We address this by building human-in-the-loop checkpoints at every decision point — the agent performs analysis, but an attorney reviews and approves before any output reaches a client or is filed. We also build confidence scoring into agent outputs, so attorneys can see exactly how certain the agent is about each conclusion and focus their review where it matters most. We provide training documentation that helps your attorneys satisfy their duty of technology competence.
How accurate is AI-powered contract analysis compared to manual review?
In our deployments, contract review agents consistently achieve 92–97% accuracy on clause identification, obligation extraction, and deviation flagging — compared to approximately 85% for manual review under time pressure, according to industry benchmarks. The key difference is consistency: the agent applies the same analysis framework to every contract, every time. It does not get fatigued reviewing the 200th NDA in a due diligence project. That said, we always design the workflow so attorneys review agent-flagged items and make final determinations on risk. The agent accelerates the process; it does not replace legal judgment.
What data security measures protect our client files and communications?
We implement defense-in-depth security: AES-256 encryption at rest, TLS 1.3 in transit, and dedicated compute instances that are not shared with other organizations. Access is governed by your firm's existing identity provider (Azure AD, Okta, etc.) with multi-factor authentication enforced. All agent activity is logged to immutable audit trails for compliance and cyber insurance requirements. For firms with strict data residency obligations, we deploy entirely within your chosen jurisdiction. We also conduct penetration testing and provide the results to your IT team and cyber insurance carrier.
What level of attorney oversight is required when using AI agents?
Every agent we build includes mandatory attorney review gates before any output is finalized. For contract review, an attorney approves extracted terms and flagged deviations before they enter the clause library or are sent to opposing counsel. For research agents, an attorney validates cited authorities before relying on them in briefs or memos. For intake agents, a conflicts attorney reviews the automated conflict check results before clearing a new matter. The level of oversight is configurable per practice group and matter type — high-stakes litigation gets more checkpoints, routine NDA review gets fewer. But the attorney is always in the loop.
Legal technology expertise — not generic AI consultants
We understand the ethical obligations, privilege requirements, and regulatory constraints that make legal technology fundamentally different from other industries. You contract with a US LLC, communicate in your timezone, and get senior AI engineers with genuine legal domain expertise — at 40–60% less than US-only rates through our LATAM delivery model.
Privilege-safe by architecture
Data isolation, ethical walls, and audit trails designed with your ethics counsel before development
Practice management integration
iManage, NetDocuments, Clio, Aderant, Elite 3E — we know these systems
Ready to give your attorneys AI-powered leverage?
Tell us which workflow is consuming the most attorney time — contract review, research, intake, or billing. We'll map the agent opportunity and give you an honest assessment of ROI and ethical considerations before you commit.