Legal AI: Transforming legal practice with artificial intelligence

Artificial intelligence is profoundly transforming the practice of law. Faced with increasingly complex matters, growing volumes of documents and pressure on deadlines, legal professionals now rely on legal AI software for law firms to work more efficiently. Research, analysis and document drafting can now be assisted by high-performing tools, without calling into question the lawyer’s central role. This article offers an overview of the uses, the existing solutions and the key issues involved in the responsible adoption of legal AI.

What is legal AI software?

Legal AI software refers to the integration of technological innovation into the practice of law. More precisely, the term refers to making generative artificial intelligence available to — and its use by — legal professionals, such as in-house counsel and lawyers.

Generative artificial intelligence refers to a category of technologies capable of producing new content (text, images, data, etc.) from existing information.

It relies on machine-learning models that analyze vast data sets to generate original, relevant, context-appropriate results. In the legal field, generative AI notably assists legal professionals with drafting, analyzing and summarizing legal documents.

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Context and challenges for legal professionals

The rise of legal artificial intelligence marks a major shift in the practice of law. Faced with growing document volumes, pressure on deadlines and the demand for precision, legal professionals are now looking for legal AI software that can save them time without compromising the quality or confidentiality of their advice.

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Indeed, lawyers face a substantial quantity of documents to analyze or draft every day. Yet the considerable time spent processing these essential documents is not always billable to clients. And this activity accounts for a significant share of their daily work. The result is lost time and less investment in the genuinely high-value tasks.

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Spending hours, or even days, reading credit documentation or analyzing exhibits in criminal litigation is not what matters most in a case. The point of using artificial intelligence, for a lawyer, is therefore to refocus the bulk of their activity on two things: the relationship with their client and thinking through the strategy to pursue, whether in advisory or contentious work.

How? AI-powered software for lawyers makes it possible to automate many repetitive, time-consuming tasks, such as legal research, the analysis of case law and documents, or the drafting of draft legal instruments.

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By delegating these tasks to high-performing tools, the lawyer can devote more time to listening to and understanding their clients’ needs, which strengthens the quality of the human relationship and the personalisation of the support provided.

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An overview of legal AI software in 2026

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Legal professionals have access to several tools on the legal artificial intelligence software market. Several types of tools exist: productivity AI and research AI. Some focus on one need; others combine both.

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Several players stand out for their positioning and features. Here is a tour of the main legal AIs currently available.

LEGORA, a Swedish legaltech offering a collaborative AI platform dedicated to lawyers and legal professionals.

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It stands out for its intelligent automation of legal processes, combining document review, legal research, information extraction, assisted drafting and workflow management. LEGORA is particularly effective at processing large volumes of documents and structuring analysis.

The legal-technology landscape has grown considerably richer in recent years, driven by the emergence of ever more capable artificial intelligence solutions.

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Among the major players, HARVEY has established itself as an international reference: developed in San Francisco, this generative AI supports in-house legal teams and law firms with document analysis and due diligence, while enabling the creation of customized content. Its adoption by large organizations attests to its effectiveness, although it often requires advanced technical integration.

In France, innovation is also well represented, with solutions such as JIMINI AI, a legal AI launched in 2023

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Designed specifically for legal professionals, it offers comprehensive analysis, drafting and legal-research features, with direct integration into Word and particular attention paid to data confidentiality.

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For its part, DOCTRINE has stood out since 2016 as an essential aggregator of case law and legal documents. Thanks to its AI tools, it offers advanced legal research and enriched document management that quickly surfaces relevant sources and enriches case files.

Finally, GenIA-L, developed by Lefebvre Dalloz, stands out for integrating an extensive legal-documentation collection with productivity, summarization and document-analysis tools. Its GDPR compliance and European data hosting make it particularly well suited to legal professionals’ security requirements.

Features and benefits for legal professionals

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Automating repetitive tasks

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Legal AI automates many time-consuming tasks that take up a large share of legal professionals’ time. It can:

• rapidly analyze large volumes of documents;

• compare contracts;

• build analysis tables;

• detect inconsistencies;

• structure information drawn from complex case files.

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Some solutions can generate and personalise legal instruments from templates, making it easy to produce documents in bulk through mail merge, notably in litigation and M&A.

The concrete benefits of legal AI software are therefore manifold:

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• a significant reduction in the time spent on repetitive tasks;

• an improvement in the overall productivity of the firm or legal department;

• a refocusing of the lawyer on high-value work such as analysis, strategy and advice.

• training and AI upskilling through the legal AI itself.

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Drafting assistance

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The practice of law demands considerable time spent drafting contracts, formal notices, writs of summons and court submissions. These documents must be legally accurate, consistent and well written.

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Hours spent on a contract or draft submissions can lead the author to overlook certain formal rules or make language mistakes. In this context, drafting-assistance tools become essential, since the slightest error or inconsistency can engage the liability of a lawyer or in-house counsel held to a standard of flawless drafting.

Legal AIs therefore offer advanced assistance with drafting legal documents, often integrated directly into existing work tools (such as word processors like Microsoft Word). They can draft, rephrase, correct, summarize or translate legal content from natural-language instructions: the famous “prompts”.

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These tools can also:

• harmonise the style of a document;

• improve its clarity;

• suggest more legally precise wording;

• analyze a legal risk while leaving the user in control to validate every change.

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Text production is considerably improved as a result, and the in-house counsel or lawyer spends less time on their deliverable. Once again, this legal AI software delivers indispensable time savings by cutting review time for ever-busier lawyers and in-house counsel.

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Legal research assistance

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Some legal productivity AI software also includes a research feature — and some of them even offer in-depth Deepresearch

Legal AIs make it possible to centralize and exploit numerous legal sources, such as legislation, case law, legal scholarship and internal documents, within a single interface.

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They make legal research faster and more targeted, providing contextualised, structured answers accompanied by precise references.

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The results obtained can be automatically summarized, which makes complex subjects easier to understand and legal reasoning easier to prepare. This technology delivers concrete benefits, notably considerable time savings in legal research, better exploitation of the available information and faster access to relevant, structured answers.

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In short, the lawyer or in-house counsel equipped with legal AI software gains a genuine tool for optimizing their workflow.

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Security and compliance

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Legal AI and professional secrecy are intimately linked. Indeed, using a legal AI rests on high standards of confidentiality, security and regulatory compliance. Legal AI tools implement data-encryption mechanisms, strict access management and policies guaranteeing that the data processed is neither reused nor shared for external purposes.

Sovereign hosting, GDPR compliance and alignment with the ethical obligations of the legal professions are, moreover, essential criteria when choosing a legal AI.

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1. Cloud Act compliance

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Using a legal AI raises significant data-sovereignty issues, notably with regard to the US Cloud Act. That law allows US authorities to access certain data hosted by American companies, including where the servers are located outside US territory.

In a legal context, where the documents processed are highly sensitive (judgments, writs of summons or fee agreements), it is essential to favor legal AI solutions whose hosting and infrastructure are legally shielded from any extraterritorial reach.

Choosing a platform that meets European requirements thus limits the risk of unauthorised access to legal data and guarantees a level of confidentiality consistent with legal professionals’ expectations.

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2. GDPR compliance

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Any legal AI must be designed in strict compliance with Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data (GDPR). This notably entails rigorous management of personal data, limitation of the purposes of processing and full transparency about how it is used.

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In legal AI software, the documents analyzed may contain sensitive data concerning clients, employees or third parties.

It is therefore essential that this data is neither reused for uncontrolled training purposes nor shared with external parties, and that it is protected by appropriate security measures, such as encryption and access control.

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3. Compatibility with lawyers’ professional-conduct rules

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The adoption of legal AI software must also be compatible with the ethical principles of the legal profession, notably professional secrecy, independence and loyalty to the client. The Règlement Intérieur National (RIN), the national rulebook of the French legal profession, places particular emphasis on these ethical obligations binding lawyers in France.

A legal AI can under no circumstances substitute for the lawyer’s legal reasoning or take decisions in their place. It must be designed as an assistance tool, augmenting the lawyer’s capabilities without calling their professional responsibility into question.

Human control remains central: the lawyer retains command of the analyses produced, the documents generated and the advice delivered to the client. Legal AI software thus remains nothing more than a copilot.

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Use cases for AI in the legal sector

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Drafting legal instruments and contracts

Legal AI software now plays a key role in drafting legal instruments and contracts by providing intelligent assistance to lawyers and legal professionals. Thanks to natural-language-processing technologies, these tools speed up the production of legal documents while improving their clarity.

In concrete terms, a lawyer can use a legal AI to structure a services agreement, rephrase a liability clause, check the consistency of definitions or harmonise an entire document.

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When drafting court submissions, AI can clarify the legal reasoning, summarize a ground or refine the drafting of a clause, cutting review time and formal errors, without substituting for human analysis.

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Sourced legal research

Legal AI tools are also transforming legal research and case-law monitoring by making it possible to rapidly analyze large quantities of legislation, court decisions and scholarly commentary. This augmented legal research makes it easier to identify developments in the law, case-law trends and areas of uncertainty.

‍ For example, a lawyer can query legal AI software with an in-depth question such as: *“What are the contributions of the ordinance of 12 March 2025 on the nullity of corporate acts, and what are the practical consequences for companies?”.*The AI can then provide a structured legal summary with a high degree of precision in its legal answers. This type of use significantly improves legal efficiency, while leaving the lawyer to verify the sources and make the final assessment of the reasoning.

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The criteria for choosing legal AI software

‍Choosing legal AI software is a strategic decision for a law firm or legal department. Not all tools are equal, and it is essential to weigh several criteria in order to select a solution genuinely suited to professional needs and operational constraints.

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The key features to compare

The first criterion for selecting legal AI software is the breadth and relevance of its features. Some tools are geared mainly towards legal research (such as GenIA-L from Dalloz) while others emphasise contract drafting (such as Jimini AI), legal risk analysis or the automation of repetitive tasks. It is essential to check whether the software offers only sourced legal research, or also the summarization of legal documents, the identification of sensitive clauses, the comparative analysis of contracts or the assisted generation of legal instruments. An effective solution must deliver a real productivity gain, provided it is properly used and understood by the in-house counsel or lawyer.

Criterion/Feature

Description

Example tools

Legal research

Fast access to reliable, relevant legal sources

GenIA-L (Dalloz)

Automation of repetitive tasks

Automation of tasks such as document generation or document management

Jimini AI Doctrine HARVEY

Identification of sensitive clauses

Detection of clauses that carry risk or require particular attention

Doctrine

Comparative contract analysis

Comparison of several contracts to identify differences and sensitive points

JIMINI LEGORA

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Cost and business model

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Cost is an important criterion when evaluating legal AI software. Business models can vary: monthly or annual subscription, billing per user, per volume of documents or per query. It is essential to weigh the price offered against the real gains in terms of reduced review time**, **task automation and improved legal efficiency. A relevant solution must generate a clear return on investment without complicating the firm’s financial management.

Data security and GDPR compliance

An essential framework for the responsible adoption of legal AI. Taking into account the AI Act, the Cloud Act, the GDPR and the professional-conduct rules is a fundamental prerequisite for the confident adoption of AI in the legal sector.

A reliable legal AI is above all a solution that combines data sovereignty, technological performance and respect for the profession’s core values. Depending on the legal AI software used, data will not be processed in the same way.

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Some rely on local servers, others on servers abroad where the data may be stored, used and put to work training the AI model. The choice of legal AI software therefore also turns on the data-protection and confidentiality policy to which the legal artificial intelligence is subject.

Support and onboarding

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Finally, the level of support and onboarding offered by the vendor is a key success factor in adopting legal AI software. A high-performing but poorly supported tool risks never being fully exploited by the teams.

The availability of technical assistance, learning resources, training or user guides makes the tool easier to master and fosters a gradual upskilling of users. Good legal AI software is also software that supports legal professionals through the transformation of their practices, without abrupt disruption or excessive complexity.

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Legal AI is steadily establishing itself as an everyday tool for legal professionals, thanks to more precise analyses and deeper integration into their working tools.

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It facilitates monitoring, risk analysis, drafting and document summarization, without ever substituting for the lawyer’s reasoning. Its adoption should be gradual, guided by the priority needs of the firm or legal department. Choosing a solution requires particular attention to data confidentiality and to compliance with the GDPR, the AI Act, the Cloud Act and the professional-conduct rules.

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Used with discernment and supported by appropriate training, legal AI becomes a genuine lever for performance and for the quality of advice. For adoption to succeed, the teams must also be supported, trained in good practice, and human control must be kept over the analyses produced. Used with discernment, legal AI becomes a genuine ally for improving the quality of advice and strengthening legal performance.

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