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Legaltech, AI and legal market

Lantyer Legal AI and Legaltech Observatory

The global legal-technology market translated for jurists: tools, risks, trends, applications and evaluation criteria.

What the Observatory monitors

We map the main verticals of legal innovation with attention to risks, limits and real applications for legal practice and the public sector.

AI for legal research

Tools that move legal research from keyword search toward semantic, conversational and source-assisted synthesis.

Main risks
  • - Hallucinated precedents
  • - Outdated datasets
  • - Opaque selection of cases
Audiences
Litigation lawyersPublic legal officesCourtsResearchers

AI for contracts

Tools for drafting, reviewing, comparing and managing contracts, with attention to confidentiality and procurement criteria.

Main risks
  • - Professional secrecy breaches
  • - Exposure of sensitive business data
  • - Hallucinated clauses
Audiences
Legal departmentsCorporate lawyersM&A teams

AI for due diligence

Systems that read large document sets to identify liabilities, risks and non-compliance in audits and transactions.

Main risks
  • - False negatives
  • - Unsafe third-party cloud storage
  • - Improper model training with client documents
Audiences
Full-service firmsLegal departmentsInvestment banks

AI for document management

Models for extracting metadata, classifying legal folders and anonymizing legal documents.

Main risks
  • - Failed anonymization
  • - Classification errors
  • - Poor data portability
Audiences
Legal operationsDPOsLegal IT

AI for compliance and LGPD

Predictive and analytical systems for ongoing regulatory monitoring and internal risk detection.

Main risks
  • - Monitoring bias
  • - Automated decisions without human review
  • - Labor-law concerns
Audiences
Compliance officersLegal departmentsRisk directors

AI for the public sector

Government and judiciary uses of algorithms for triage, fraud prevention, case distribution and fiscal management.

Main risks
  • - Algorithmic discrimination
  • - Lack of transparency
  • - National data sovereignty
Audiences
Public legal officesJudgesPublic defendersProsecutorsPublic managers

AI for academic production

The intersection between AI and legal research methodology for literature review, translation and thesis writing.

Main risks
  • - Algorithmic plagiarism
  • - Fake citations
  • - Copyright issues in closed databases
Audiences
ProfessorsResearchersGraduate studentsLegal journals

International tools and references

An editorial selection of platforms and models shaping global technology and legal standards.

Harvey

Legal generative AI

monitored reference

A prominent AI platform for large global law firms, built around customized generative-model workflows.

Attention: High entry cost, common-law focus and vendor-dependency risks.

Legora

Legal AI platform

monitored reference

A legal-work platform relevant to the international debate on AI-assisted legal production.

Attention: Requires scrutiny of training data, jurisdictional fit and retention policies.

Spellbook

Contract automation

monitored reference

A contract-drafting assistant integrated into Word-like workflows.

Attention: Sensitive-document sharing, cloud settings and mandatory human review.

CoCounsel

Legal assistant

monitored reference

An assistant combining legal databases and generative capabilities in professional workflows.

Attention: International-market focus and adaptation limits for Brazilian legal use.

Lexis+ AI

Research and drafting

monitored reference

A major legal-information provider integrating conversational AI with its own source base.

Attention: Pricing, access and jurisdictional coverage.

Microsoft Copilot

General productivity AI

monitored reference

AI inside Office productivity tools, already present in many legal departments.

Attention: Privacy settings, enterprise versus consumer versions and organizational data boundaries.

ChatGPT (OpenAI)

General-purpose LLM

monitored reference

The most accessible interface for drafting, translation, summarization and brainstorming.

Attention: Retention settings, hallucination risk, confidentiality and source verification.

Claude (Anthropic)

General-purpose LLM

monitored reference

Known for long-context analysis and document-heavy use cases.

Attention: Security of uploaded legal files and review of generated outputs.

Perplexity

AI search engine

monitored reference

A search interface that combines natural language and cited web sources.

Attention: Open-web reliability, unofficial sources and limited access to paywalled legal materials.

iTools are cited as market references for editorial analysis. Mention does not imply commercial recommendation, partnership or endorsement by Lantyer Educacional.

Lantyer criteria for evaluating legal AI tools

A fundamental checklist before legal teams approve or procure a new AI solution.

1. Real purpose of the tool

What does the AI actually do, and what is only marketing language?

2. Data processed

What client, case, contract or business information will the tool read?

3. Retention and training policy

Can the vendor use your documents to improve models or datasets?

4. Location and transfer

Where is the data processed, and is international transfer involved?

5. Access controls

Who at the vendor can access uploaded or generated material?

6. Explainability

Does the AI show legal sources or produce black-box conclusions?

7. Hallucination risk

Are there guardrails against invented cases, statutes or citations?

8. Integration

Can it connect safely to existing document, matter or knowledge systems?

9. Professional responsibility

Does the workflow require human legal review before external use?

10. Cost and dependency

Is the tool sustainable, portable and contractually balanced over time?

Who the Observatory is for

Lawyers and law firms
Legal departments
Public legal offices
Professors and researchers
Legaltechs and entrepreneurs
Faculties and graduate programs

Connection with Lantyer products