AI Agents for Legal Teams

AI that does the work. Governance that proves it.

LegalAI Space builds purpose-built AI agents for legal teams — research, contracts, due diligence, drafting, and compliance monitoring — with a governance layer that makes every output verifiable, compliant, and audit-ready. Built for SRA and EU AI Act compliance from day one. Not just a productivity tool. The infrastructure for trustworthy legal AI — available as cloud or self-hosted inside your tenant.

Step 1: Work

AI performs the legal task

Step 2: Verify

Independent citation checking

Step 3: Comply

Regulatory rule evaluation

Save Audit Evidence

Proof of verification included

Purpose-Built AI Agents

Agents that do real legal work. Every output governed.

Autonomous agents that execute multi-step legal workflows — research, contract review, compliance monitoring, audit — with every action independently verified, compliance-checked, and audit-trailed.

AI research tools may produce plausible-sounding citations that don't exist — we prevent that from happening

How it works

1.You submit a research question in natural language or a structured brief with jurisdictions and scope
2.Agent plans a multi-step research strategy, selecting relevant sources (BAILII, legislation.gov.uk, EUR-Lex) and our proprietary database
3.Agent executes searches across authoritative sources and our in-house curated database — case law, statutes, SIs, regulatory guidance — ranked by authority and recency
4.Our proprietary 3-stage Governance Engine runs: Verify checks every citation against primary source databases, Comply evaluates jurisdictional correctness and completeness, Prove generates an immutable audit certificate
5.You receive a verified research memorandum — every citation annotated with verification status, source database, and current standing, with the full audit trail attached
Verify
Comply
Prove

Contract review at scale requires consistency that manual review can't deliver

How it works

1.Upload the contract and select a review playbook — your firm's NDA, commercial supply, or custom playbook that defines what 'good' looks like
2.Agent parses clause structure, classifies clause types (limitation of liability, indemnity, IP assignment), and maps parties and defined terms
3.Each clause is reviewed against your playbook rules — deviations classified as acceptable, requires negotiation, escalate, or reject
4.Our proprietary 3-stage Governance Engine runs: Verify checks all legal references in the contract against our proprietary database and legislation.gov.uk, Comply ensures every required clause type was reviewed to firm standards, Prove logs per-clause decisions with playbook traceability
5.Structured review report delivered — organised by risk severity with clause text, playbook rule applied, deviation found, and confidence levels per finding
Verify
Comply
Prove

Regulatory changes happen faster than any compliance team can manually track

How it works

1.Configure your monitoring scope — which regulators (SRA, FCA, ICO, CMA), practice areas, and client sectors to watch, with materiality thresholds
2.Agent continuously scans Parliament, regulatory bodies, and our proprietary database for new legislation, SIs, guidance, enforcement decisions, and consultations
3.Each development is impact-assessed against your firm's specific obligations, practice areas, and client portfolio — materiality scored so your COLP sees what matters first
4.Our proprietary 3-stage Governance Engine runs: Verify confirms every regulatory reference against primary sources (legislation.gov.uk, EUR-Lex, SRA Standards), Comply checks your monitoring scope covers all regulatory exposure, Prove timestamps and logs every scan, assessment, and alert
5.Actionable briefing notes are generated for the COLP, practice heads, or partners — what changed, why it matters to your firm, and what action is needed
Verify
Comply
Prove

The SRA expects evidence of AI governance that most firms can't produce

How it works

1.Governance data is automatically collected from every LegalAI Space agent — what was processed, verified, compliance-checked, and escalated
2.AI risk register is maintained continuously, updated as usage patterns change, agents are deployed, and new risk patterns are identified against your firm's thresholds
3.COLP dashboard shows real-time usage across all agents — who used what, on which matters, verification pass rates, compliance results, and incident counts
4.Our proprietary 3-stage Governance Engine runs: Verify ensures audit data integrity with immutable logs and cross-reference checks, Comply evaluates your governance posture against SRA rules 2.1, 2.2, 2.5, 3.3, and 7.1, Prove produces the exact evidence the SRA asks for during inspections
5.Periodic audit reports generated automatically — monthly, quarterly, or ad-hoc — structured around what regulators actually request, not generic frameworks
Verify
Comply
Prove
The Governance Engine

Every output flows through three stages

Before any agent output reaches a lawyer, it passes through our proprietary three-stage governance engine — built specifically for legal, verifying against authoritative sources and regulatory requirements in real time.

Input

Your legal task

Verify

Citation checking

Comply

Regulatory rules

Prove

Audit trail

Governed

Output delivered

Proprietary Database

Beyond BAILII and legislation.gov.uk, our governance engine verifies against a proprietary database that we are building in real time — curated specifically for multi-step legal verification. This enables faster retrieval of authentic case law, statutory instruments, and regulatory guidance, with cross-referencing across jurisdictions that public databases alone cannot provide.

Cloud or self-hosted — your choice

Run LegalAI Space as a managed cloud service, or self-host inside your own Azure, AWS, or on-premise tenant. With self-hosted, matter content, prompts, model responses, and audit evidence never leave your boundary — and you bring your own LLM contracts (Azure OpenAI, Anthropic, Mistral). See self-hosted details →

Stage

Verify

Citation Verification

Checks every citation against BAILII and legislation.gov.uk, catching hallucinated cases before they reach a client or court.

Case law verified against BAILII — court name, neutral citation, date, parties, and current status confirmed

Statutes checked on legislation.gov.uk — amendment history, commencement status, and extent tracked

EU measures validated against EUR-Lex with transposition status for cross-border matters

Proprietary database cross-referenced for multi-step verification and faster retrieval

Stage

Comply

Regulatory Compliance

Evaluates outputs against SRA rules and EU AI Act requirements encoded as policy-as-code — contextual rule evaluation, not a static checklist.

SRA Code of Conduct rules (2.1, 2.2, 2.5, 4.3) encoded as executable policy logic

EU AI Act obligations for high-risk systems evaluated against Article 6, 13, and 14 requirements

Firm-specific compliance policies layered on top — information barriers, client instructions, practice area rules

Contextual evaluation: the same output is assessed differently depending on jurisdiction, practice area, and client

Stage

Prove

Audit Trail Generation

Generates immutable audit trails with compliance certificates — the evidence regulators and insurers require.

Every verification result, compliance check, and decision logged with timestamps

Compliance certificates generated per output — exportable for SRA inspections and PII renewals

Full provenance chain: what was processed, which sources were checked, what passed or failed

Immutable records — audit data cannot be edited or deleted after creation

Jurisdiction Focus

Built for UK and EU regulatory compliance from day one.

LegalAI Space encodes jurisdiction-specific regulatory requirements as policy-as-code. Our governance engine doesn't apply generic checklists — it evaluates every output against the actual rules that apply to your firm, your clients, and your practice areas.

In force — applies now

The SRA does not have a standalone AI regulation, but AI use falls squarely under the existing Code of Conduct for Firms. Compliance officers are already responsible for governing AI — the SRA's December 2025 thematic review confirmed this expectation.

93%

of mid-size UK firms now use AI

10%

have formal AI governance policies

1

COLP out of those reviewed could describe all obligations

Key obligations for law firms

Rule 2.1 — Effective governance

Firms must have effective governance structures, arrangements, systems, and controls in place when adopting AI tools. This means documented policies, assigned responsibility, and active oversight.

Rule 2.2 — Compliance records

Firms must maintain records that demonstrate regulatory compliance. For AI, this means audit trails, verification logs, and evidence that AI outputs were supervised.

Rule 2.5 — Risk management

AI must be included in the firm's risk register. Risks specific to AI — hallucination, data leakage, bias, lack of supervision — must be identified, assessed, and managed.

Rule 4.3 — Competence of managers and employees

Staff using AI tools must have the knowledge, skills, and training to evaluate AI outputs. The SRA expects ongoing competence development, not just tool access.

Principle 7 — Best interests of each client

Firms must act in the best interests of each client. Where AI use materially affects service delivery, transparency about that use builds trust and reduces professional liability risk.

Enforcement: 2 August 2026

The EU AI Act has extraterritorial reach under Article 2. Any UK firm whose AI-generated outputs are used in the EU is likely in scope. With enforcement four months away, firms advising EU-exposed clients need to prepare now.

3.5%

of compliance professionals say they are fully prepared

EUR 15M

or 3% of global turnover for high-risk violations

Aug 2026

full enforcement date for high-risk AI obligations

Key obligations for law firms

Article 2 — Extraterritorial scope

Applies to providers and deployers of AI systems regardless of where they are established, if the output is used in the EU. UK firms advising clients with EU operations are in scope.

Article 6 & Annex III — High-risk classification

AI systems used in the administration of justice and legal interpretation may be classified as high-risk, requiring conformity assessments, technical documentation, and human oversight.

Article 13 — Transparency obligations

AI systems must be designed to be sufficiently transparent that deployers can interpret and use outputs appropriately. Legal AI tools must make their reasoning process auditable.

Article 14 — Human oversight

High-risk AI systems must be designed to allow effective human oversight. In a legal context, this means lawyers must be able to review, override, and take responsibility for AI outputs.

Article 99 — Penalties

Fines of up to EUR 35 million or 7% of global turnover for prohibited practices, EUR 15 million or 3% for high-risk system violations, and EUR 7.5 million or 1% for incorrect information.

Why jurisdiction-aware governance matters

Generic AI governance frameworks miss what matters most — the specific regulatory obligations that apply to your firm. Here is why getting this right protects your firm, your clients, and your reputation.

Regulatory protection

Demonstrate to the SRA and EU regulators that your firm governs AI use with documented policies, verified outputs, and auditable evidence — before they ask for it.

Professional indemnity

PII insurers are adding AI-specific questions to renewals. Firms with governance frameworks in place will secure better terms. Firms without may face exclusions or premium increases.

Client confidence

59% of in-house counsel don't know if their outside counsel uses AI. When they start asking — and they will — firms with transparent, governed AI use will win work.

Quality assurance

AI hallucination cases are accelerating. Governance ensures every AI output is verified against authoritative sources before it reaches a client, protecting both the firm and the people it serves.

Built-In Document Intelligence

From raw documents to AI-ready data.

AI agents are only as good as the documents they work from. LegalAI Space includes two purpose-built document tools — developed in-house — that convert, extract, and verify document data before any agent touches it.

MarkdownConverters

In-house built

50+ document formats to AI-ready structured data

Our open-source document conversion engine handles every format law firms encounter — PDFs, scanned documents, Word, Excel, EPUB, images, and handwritten notes. Documents are converted into clean, structured data that AI agents can work with accurately.

Universal format support

50+ file formats including scanned PDFs, multi-column layouts, tables, and embedded images — converted with structure preserved

Intelligent structure recognition

Headings, clauses, tables, lists, and cross-references are identified and preserved — not flattened into plain text

Batch processing

Process entire matter folders at once with consistent settings — templates for NDAs, leases, employment contracts, and more

PaperAI

In-house built

Human-in-the-loop document review and extraction

AI-powered extraction goes beyond basic OCR — contract terms, dates, obligations, parties, clauses, and financial figures are pulled into structured, searchable data. Every extraction is presented for human review before it proceeds.

Side-by-side review

Original document and AI extraction displayed together — lawyers verify accuracy before anything is finalised

Confidence scoring

Every extracted element shows a confidence score — uncertain items are highlighted so reviewers know exactly where to focus

Approval workflows

Role-based review and sign-off with Admin, Reviewer, and Editor roles — proper oversight chains before documents reach agents

The Problem

Every legal AI tool makes lawyers more productive. None of them answer the question that matters.

Regulators worldwide are asking a simple question that no existing tool can answer: "Can you prove this AI output was governed?"

Al-Haroun v Qatar National Bank (UK, 2025)

A solicitor's submissions to the High Court contained 18 non-existent case authorities, generated using AI tools by the client and filed without independent verification. The solicitor was referred to the SRA. The court described a lamentable failure to check the accuracy of material put before the court.

Mata v Avianca (US, 2023)

Two lawyers sanctioned by a US federal court after filing a brief containing six entirely fictitious case citations generated by ChatGPT.

ToolWhat it offersWhat's missing
AI research toolsLegal research and draftingNo independent verification, no compliance checking, no audit trail for regulators
AI contract platformsContract review and due diligenceNo regulatory compliance engine, no supervision chain, no governance evidence
AI drafting assistantsDocument generation and reviewNo jurisdiction-specific governance, no compliance dashboard, no provenance tracking
General-purpose AIChat-based legal assistanceZero legal-domain verification, zero regulatory awareness, zero governance

See the difference governance makes

Toggle between raw AI output and governed output. Hallucinated citations caught. Authorities verified. Full audit trail generated.

AI Research Output — Professional Negligence

No verification performed

Hedley Byrne & Co Ltd v Heller & Partners Ltd [1964] AC 465

Unchecked — assumed correct

Henderson & Partners v Stuart & Webb [2019] EWHC 1847 (Ch)

Hallucinated — this case does not exist

Limitation Act 1980, s.2 — 6 year limitation period

No amendment check — may be outdated

SRA Code of Conduct rule 3.3 — Competence

No compliance assessment performed

Output sent to lawyer with zero verification. Hallucinated citation included. No audit trail.

Watch the Research Agent work

Real-time view of the agent searching, verifying citations, catching a hallucination, and generating a compliance certificate.

Research Agent
Agent running...
0/13 steps

The governance gap in numbers

0%Of UK Firms Now Use AI
0%Have Formal AI Policies
0T+Global Legal Services Market ($)
0Purpose-Built Governance Tools for Legal
Who It's For

Built for the people responsible for AI governance

AI governance touches every role in a modern law firm. LegalAI Space gives each stakeholder the visibility and evidence they need.

COLPs & Compliance Officers

Real-time dashboard of every AI-assisted work item, its verification status, and compliance score. Audit-ready reports mapped to SRA and EU AI Act requirements, generated automatically.

Managing Partners

Credible, evidence-based AI governance for PII renewals, panel tenders, and regulatory inspections. Demonstrate responsible AI use before a regulator or insurer asks.

Innovation Directors & IT Leaders

AI governance that integrates with your existing DMS and CMS. Region-specific hosting — UK data in UK, EU data in EU. GDPR compliant by design.

Practice Group Heads

Governance visibility by practice area — AI usage, verification pass rates, and compliance scores for your team. Ensure quality standards across AI-assisted work.

Risk Managers

AI risk register maintained automatically. Incidents flagged and escalated. Verification failures tracked. The data your risk framework needs, generated as a by-product of governed AI use.

Training & Competence Leads

Evidence of AI competence across the firm — who has been trained, what tools they use, and how their AI-assisted outputs perform against governance benchmarks.

Supervising Partners

See what trainees and associates produce with AI tools, what was verified, and what needs human review — supervision frameworks that work with AI, not against it.

COFAs & Finance Directors

AI governance data for PII renewal applications and regulatory reporting. Demonstrate to insurers that AI outputs are verified and supervised, reducing risk premiums.

Regulatory Landscape

Regulators worldwide are acting now

Already in force

SRA Code of Conduct for Firms (UK)

SRA rules on governance (2.1), compliance records (2.2), and risk management (2.5) already apply to AI use. Other jurisdictions' professional conduct rules carry similar obligations.

December 2025

SRA Compliance Officers Review

The SRA's thematic review found only one COLP across 25 firms could describe all their regulatory obligations — and only 10% of firms have formal AI policies. Increased scrutiny ahead.

August 2026

EU AI Act full enforcement

Full enforcement of high-risk AI obligations under the EU AI Act (Annex III) — affecting any firm serving EU clients. Penalties of up to €15 million or 3% of global turnover for non-compliance.

2026–2027

Courts worldwide imposing consequences

From the UK Tax Tribunal to US federal courts, unverified AI outputs are leading to dismissed appeals, sanctions, and professional misconduct investigations. The trend is accelerating.

Leadership

Built by someone who's shipped enterprise software at scale

Daman Kaur

Founder

Connect

Ex-Microsoft & HPE — a decade building cloud and AI infrastructure for Fortune 500 enterprises. Engineering from BITS Pilani, Executive Product Management from IIM Lucknow, and co-author of “Implementing Hybrid Cloud with Azure Arc” (Packt Publishing). Built MarkdownConverters and PaperAI before founding LegalAI Space to bring enterprise-grade governance to legal AI.

Advised by

Amit Malik

Tech Advisor

Connect

COO at Spektra Systems, where he has built and scaled 3 commercial SaaS products. Ex-Microsoft, 15+ years in cloud & AI infrastructure, and co-author of “Implementing Hybrid Cloud with Azure Arc” (Packt Publishing). Advises on platform architecture, AI infrastructure, and scalable governance systems.

Region-specific hosting — UK data in UK, EU data in EU
GDPR compliant by design
Built specifically for regulated legal services
Immutable, cryptographically verified audit trails

Frequently asked questions

Answers focused on conversion quality, team workflows, and roadmap clarity.

No — and yes. We build AI agents that do real legal work (research, contracts, due diligence, drafting, compliance monitoring). But the difference is the governance layer: every output is independently verified, compliance-checked, and audit-trailed. Other tools make lawyers more productive. We make that productivity provably governed.
Pricing

Per-seat pricing from $49. Save 25% on annual.

All frontier AI models, governance, and audit trails on every plan. Start with a 5-day Starter trial or jump straight to Professional.

Talk to us

Talk to the team building governed legal AI

Speak with our team about how LegalAI Space fits your firm's governance, compliance, and AI workflows. Already convinced? Start a 5-day Starter trial in two minutes →

What we'll cover

  • Tailored governance walkthrough for your jurisdiction
  • SRA / EU AI Act compliance Q&A
  • Help scoping custom agents for your firm
  • Pricing and seat planning

Prefer to talk?

We're speaking with compliance officers and innovation directors at law firms globally. Book a 15-minute confidential research conversation — no pitch, no sales.

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The SRA isn't waiting. The EU isn't waiting. Your competitors aren't waiting.

Join the firms building AI governance before the regulator asks for it.

Important notices
  • LegalAI Space is a technology platform. We are not a law firm and do not provide legal advice. Our agents and governance layer assist with AI-powered legal work and compliance monitoring but do not replace qualified legal counsel.
  • Regulatory compliance features are designed to support — not substitute — your firm's existing compliance processes and professional judgement.
  • Statistics cited: '96% of UK firms use AI' — Clio UK Legal Trends Survey 2024; '93% of mid-size firms' — Clio Legal Trends Report 2025 (mid-size segment); '10% have formal AI policies' — Thomson Reuters, Generative AI in Professional Services 2024; 'only one COLP could describe all obligations' — SRA Compliance Officers Thematic Review, December 2025 (25 firms, 36 individuals interviewed; general regulatory obligations, not AI-specific); '$1T+ global legal services market' — Grand View Research, Legal Services Market Report 2024; '£44B UK legal services market' — The Law Society, Economic Contribution of Legal Services 2024 (based on 2022 turnover data). Case references (Al-Haroun v Qatar National Bank, Mata v Avianca) are cited from publicly reported proceedings and simplified for illustrative purposes. EU AI Act penalty figures refer to Regulation (EU) 2024/1689, Article 99. See our regional pages for full citations.